Wiley-VCH - Statistik

Statistics and Probability with Applications for Engineers and Scientists

Gupta, Bhisham C. / Guttman, Irwin — 3 Jun 2013 08:18:03 +0200

This introductory text helps readers with no prior exposure to probability and statistics become proficient in various statistical techniques. Focusing on both descriptive and inferential statistics, the book begins with descriptive statistics before introducing the fundamentals of probability theory underlying many of the techniques. It addresses a wide range of techniques as well as design of experiments, featuring a large number of examples using real-world data. The use of the statistical packages Minitab(r) and Microsoft Office Excel(r) in the analysis of various data sets is also explained. [896 Seiten, Hardcover]

mehr...

Introduction to Linear Regression Analysis, Fifth Edition Set

Montgomery, Douglas C. — 29 May 2013 08:17:29 +0200

[Hardcover]

mehr...

An Accidental Statistician

Box, George E. P. — 20 May 2013 08:18:56 +0200

From early childhood to a celebrated career in academia and industry, acclaimed statistician George E.P. Box offers personal insights and a first-hand account of his professional accomplishments in this insightful memoir. It features thoughts from more than a dozen researchers and practitioners on how Box shaped their careers; previously unpublished photos from Box's personal collection; and Forewords written by two of Box's closest colleagues and confidants. An Accidental Statistician is a charming, intimate account of a great intellect's life that will appeal to math and engineering professionals. [304 Seiten, Hardcover]

mehr...

The Data Bonanza

Atkinson, Malcolm — 20 May 2013 08:18:54 +0200

This book presents the most up-to-date opportunities and challenges emerging in knowledge discovery, helping readers develop the technical skills to design and develop data-intensive methods and processes. Offering an introduction to the current R and D efforts worldwide, the book includes examples and case studies with strategies for addressing a wide variety of data-intensive challenges. The book includes a discussion of the DISPEL language, its development, enactment, and applications as well as data-intensive beacons of success, focusing on methods in astronomy, interactive interpretation of environment data, and data-driven research in humanities. A must-have resource for researchers in industry, governmental organizations, and academia. [576 Seiten, Hardcover]

mehr...

Optimal Resource Allocation

Ushakov, Igor A. — 20 May 2013 08:18:51 +0200

With an overview of different approaches to optimal resource allocation, from classical Lagrange methods to modern algorithms based on ideas of evolution in biology, this book details the applied methods of optimization, describes various methods of optimal redundancy problem solutions, and demonstrates how they can be solved with numerical examples and statistical methods. it is an ideal text for statistics and mathematics students as well as for students and practitioners in engineering and operations research. [256 Seiten, Hardcover]

mehr...

Introduction to Probability Theory and Stochastic Processes

Chiasson, John — 20 May 2013 08:18:47 +0200

A unique approach to stochastic processes that connects the mathematical formulation of random processes to their use in applications This book presents an innovative approach to teaching probability theory and stochastic processes based on the binary expansion of the unit interval. Departing from standard pedagogy, it uses the binary expansion of the unit interval to explicitly construct an infinite sequence of independent random variables (of any given distribution) on a single probability space. This construction then provides the framework to understand the mathematical formulation of probability theory for its use in applications. Features include: * The theory is presented first for countable sample spaces (Chapters 1-3) and then for uncountable sample spaces (Chapters 4-18) * Coverage of the explicit construction of i.i.d. random variables on a single probability space to explain why it is the distribution function rather than the functional form of random variables that matters when it comes to modeling random phenomena * Explicit construction of continuous random variables to facilitate the digestion of random variables, i.e., how they are used in contrast to how they are defined * Explicit construction of continuous random variables to facilitate the two views of expectation: as integration over the underlying probability space (abstract view) or as integration using the density function (usual view) * A discussion of the connections between Bernoulli, geometric, and Poisson processes * Incorporation of the Johnson-Nyquist noise model and an explanation of why (and when) it is valid to use a delta function to model its autocovariance Comprehensive, astute, and practical, Introduction to Probability Theory and Stochastic Processes is a clear presentation of essential topics for those studying communications, control, machine learning, digital signal processing, computer networks, pattern recognition, image processing, and coding theory. [984 Seiten, Hardcover]

mehr...

Success Probability Estimation with Applications to Clinical Trials

De Martini, Daniele — 20 May 2013 08:18:38 +0200

Provides an introduction to the various statistical techniques involved in medical research and drug development with a focus on estimating the success probability of an experiment Success Probability Estimation with Applications to Clinical Trials details the use of success probability estimation in both the planning and analyzing of clinical trials and in widely used statistical tests. Devoted to both statisticians and non-statisticians who are involved in clinical trials, Part I of the book presents new concepts related to success probability estimation and their usefulness in clinical trials, and each section begins with a non-technical explanation of the presented concepts. Part II delves deeper into the techniques for success probability estimation and features applications to both reproducibility probability estimation and conservative sample size estimation. Success Probability Estimation with Applications to Clinical Trials: * Addresses the theoretical and practical aspects of the topic and introduces new and promising techniques in the statistical and pharmaceutical industries * Features practical solutions for problems that are often encountered in clinical trials * Includes success probability estimation for widely used statistical tests, such as parametric and nonparametric models * Focuses on experimental planning, specifically the sample size of clinical trials using phase II results and data for planning phase III trials * Introduces statistical concepts related to success probability estimation and their usefulness in clinical trials Success Probability Estimation with Applications to Clinical Trials is an ideal reference for statisticians and biostatisticians in the pharmaceutical industry as well as researchers and practitioners in medical centers who are actively involved in health policy, clinical research, and the design and evaluation of clinical trials. [232 Seiten, Hardcover]

mehr...

Classification Analysis of DNA Microarrays

Peterson, Leif E. — 20 May 2013 08:17:10 +0200

The rapid uncontrolled growth of classification methods in DNA microarray studies has resulted in a body of information scattered throughout literature, numerous conference proceedings, and others. This book brings together many of the unsupervised and supervised classification methods now dispersed in the literature. It breaks away from traditional statistical methods by providing chapters on newer machine-learning approaches such as fuzzy methods, artificial neural networks, evolutionary-based genetic algorithms, support vector machines, and swarm intelligence involving particle swarm optimization and ant colony optimization. [736 Seiten, Hardcover]

mehr...

Information Search After Static or Moving Targets

Ben-Gal, Irad / Kagan, Eugene — 6 May 2013 08:17:42 +0200

This text looks at search algorithms that are applicable in various practical settings. With the implementation of suitable data structures and metrics within the suggested search algorithms, the book presents a unified framework to demonstrate immediate merits and applications. It also looks at applying information theory to search models and algorithms on graphs that can be represented by Markov decision processes and demonstrates that such an approach can lead to the construction of optimal search plans and policies. [346 Seiten, Hardcover]

mehr...

Efficiency and Productivity Growth

Pasiouras, Fotios — 29 Apr 2013 08:19:37 +0200

Exploring contemporary research issues in the area of efficiency and productivity measurement in the financial sector, this text evaluates the most suitable approaches to selecting inputs and outputs, as well as the most efficient modeling techniques. An international team of experts have contributed to this comprehensive primer for anyone seeking an authoritative introduction to efficiency and productivity analysis with applications in both the finance and insurance industry. Corporate governance, stock price returns, deregulation, the impact of environment, and the efficiency in market-based versus bank-based economies are all explored. [286 Seiten, Hardcover]

mehr...

Applied Logistic Regression

Hosmer, David W. / Lemeshow, Stanley / Sturdivant, Rodney X. — 29 Apr 2013 08:17:17 +0200

A new edition of the definitive guide to logistic regression modeling for health science and other applications This thoroughly expanded Third Edition provides an easily accessible introduction to the logistic regression (LR) model and highlights the power of this model by examining the relationship between a dichotomous outcome and a set of covariables. Applied Logistic Regression, Third Edition emphasizes applications in the health sciences and handpicks topics that best suit the use of modern statistical software. The book provides readers with state-of-the-art techniques for building, interpreting, and assessing the performance of LR models. New and updated features include: * A chapter on the analysis of correlated outcome data * A wealth of additional material for topics ranging from Bayesian methods to assessing model fit * Rich data sets from real-world studies that demonstrate each method under discussion * Detailed examples and interpretation of the presented results as well as exercises throughout Applied Logistic Regression, Third Edition is a must-have guide for professionals and researchers who need to model nominal or ordinal scaled outcome variables in public health, medicine, and the social sciences as well as a wide range of other fields and disciplines. [528 Seiten, Hardcover]

mehr...

Solutions Manual to Accompany Introduction to Linear Regression Analysis

17 Apr 2013 08:17:55 +0200

Praise for the Fourth Edition As with previous editions, the authors have produced a leading textbook on regression. --Journal of the American Statistical Association A comprehensive and up-to-date introduction to the fundamentals of regression analysis Introduction to Linear Regression Analysis, Fifth Edition continues to present both the conventional and less common uses of linear regression in today's cutting-edge scientific research. The authors blend both theory and application to equip readers with an understanding of the basic principles needed to apply regression model-building techniques in various fields of study, including engineering, management, and the health sciences. Following a general introduction to regression modeling, including typical applications, a host of technical tools are outlined such as basic inference procedures, introductory aspects of model adequacy checking, and polynomial regression models and their variations. The book then discusses how transformations and weighted least squares can be used to resolve problems of model inadequacy and also how to deal with influential observations. The Fifth Edition features numerous newly added topics, including: * A chapter on regression analysis of time series data that presents the Durbin-Watson test and other techniques for detecting autocorrelation as well as parameter estimation in time series regression models * Regression models with random effects in addition to a discussion on subsampling and the importance of the mixed model * Tests on individual regression coefficients and subsets of coefficients * Examples of current uses of simple linear regression models and the use of multiple regression models for understanding patient satisfaction data. In addition to Minitab, SAS, and S-PLUS, the authors have incorporated JMP and the freely available R software to illustrate the discussed techniques and procedures in this new edition. Numerous exercises have been added throughout, allowing readers to test their understanding of the material, and a related FTP site features the presented data sets, extensive problem solutions, software hints, and PowerPoint slides to facilitate instructional use of the book. Introduction to Linear Regression Analysis, Fifth Edition is an excellent book for statistics and engineering courses on regression at the upper-undergraduate and graduate levels. The book also serves as a valuable, robust resource for professionals in the fields of engineering, life and biological sciences, and the social sciences. [164 Seiten, Softcover]

mehr...

Data Points: Visualization That Means Something

Yau, Nathan — 15 Apr 2013 08:18:23 +0200

A fresh look at visualization from the author of Visualize This Whether it's statistical charts, geographic maps, or the snappy graphical statistics you see on your favorite news sites, the art of data graphics or visualization is fast becoming a movement of its own. In Data Points: Visualization That Means Something, author Nathan Yau presents an intriguing complement to his bestseller Visualize This, this time focusing on the graphics side of data analysis. Using examples from art, design, business, statistics, cartography, and online media, he explores both standard-and not so standard-concepts and ideas about illustrating data. * Shares intriguing ideas from Nathan Yau, author of Visualize This and creator of flowingdata.com, with over 66,000 subscribers * Focuses on visualization, data graphics that help viewers see trends and patterns they might not otherwise see in a table * Includes examples from the author's own illustrations, as well as from professionals in statistics, art, design, business, computer science, cartography, and more * Examines standard rules across all visualization applications, then explores when and where you can break those rules Create visualizations that register at all levels, with Data Points: Visualization That Means Something. [320 Seiten, Softcover]

mehr...

Multicriteria Decision Aid and Artificial Intelligence

Doumpos, Michael / Grigoroudis, Evangelos — 8 Apr 2013 08:18:30 +0200

This book covers a rich set of topics, including intelligent decision support technologies, data mining models for decision making, evidential reasoning, evolutionary multiobjective optimization, fuzzy modelling, as well as applications in management and engineering. It covers all of the recent advances in intelligent decision making and provides an excellent reference tool for the increasing number of researchers and practitioners interested in the integration of MCDA and AI for the development of effective hybrid decision support methodologies and systems. [368 Seiten, Hardcover]

mehr...

Financial Derivative and Energy Market Valuation

Mastro, Michael — 27 Mar 2013 08:17:43 +0100

With an introduction to the needed mathematical financial theory, this book presents statistical and quantitative methods to implement and apply state-of-the-art financial models. It details the necessary steps for implementation of the models in MATLAB and provides the code; discusses the affine transform formalism; focuses on developing and utilizing the Kalman filter; and exploits the extended, Gauss-Hermite, unscented, Monte Carlo, and particle Kalman filters for nonlinear and non-Gaussian models. [664 Seiten, Hardcover]

mehr...

Introduction to Statistics Through Resampling Methods and R

Good, Phillip I. — 20 Mar 2013 08:17:31 +0100

A highly accessible alternative approach to basic statistics Praise for the First Edition: Certainly one of the most impressive little paperback 200-page introductory statistics books that I will ever see . . . it would make a good nightstand book for every statistician.--Technometrics Written in a highly accessible style, Introduction to Statistics through Resampling Methods and R, Second Edition guides students in the understanding of descriptive statistics, estimation, hypothesis testing, and model building. The book emphasizes the discovery method, enabling readers to ascertain solutions on their own rather than simply copy answers or apply a formula by rote. The Second Edition utilizes the R programming language to simplify tedious computations, illustrate new concepts, and assist readers in completing exercises. The text facilitates quick learning through the use of: More than 250 exercises--with selected hints--scattered throughout to stimulate readers' thinking and to actively engage them in applying their newfound skills An increased focus on why a method is introduced Multiple explanations of basic concepts Real-life applications in a variety of disciplines A companion site that provides access to all data sets and R programs discussed in the text Dozens of thought-provoking, problem-solving questions in the final chapter to assist readers in applying statistics to real-life applications Introduction to Statistics through Resampling Methods and R, Second Edition is an excellent resource for students and practitioners in the fields of agriculture, astrophysics, bacteriology, biology, botany, business, climatology, clinical trials, economics, education, epidemiology, genetics, geology, growth processes, hospital administration, law, manufacturing, marketing, medicine, mycology, physics, political science, psychology, social welfare, sports, and toxicology who want to master and learn to apply statistical methods. [224 Seiten, Softcover]

mehr...

The Collected Works of Geoffrey J. McLachlan

McLachlan, Geoffrey J. — 28 Feb 2013 08:17:46 +0100

[Hardcover]

mehr...

Introduction to Logistics Systems Management

Ghiani, Gianpaolo — 25 Feb 2013 08:18:41 +0100

Introduction to Logistics Systems Planning and Control presents a self contained introduction to the quantitative methods necessary for logistics systems management at a level suitable for students of engineering, computer science and management science. With this new, thoroughly revised edition, the author introduces business logistics and covers sales forecasting, inventory management, warehouse design and management and transport planning and control, and includes new chapters on procurement and the design of automated storage and retrieval systems, as well as new case studies that demonstrate how the methods can be applied to complex logistics problems. It is illustrated throughout by real examples and features a number of new case studies that show the reader how to apply the methods described, and a supporting website features new exercises and teaching material [478 Seiten, Hardcover]

mehr...

Model Building in Mathematical Programming

Williams, H. Paul — 25 Feb 2013 08:18:28 +0100

[432 Seiten, Softcover]

mehr...

Problem Solving and Data Analysis Using Minitab

Khan, Rehman M. — 25 Feb 2013 08:18:21 +0100

Problem Solving and Data Analysis using Minitab presents example-based learning to aid readers in understanding how to use MINITAB 16 for statistical analysis and problem solving. Each example and exercise is broken down into the exact steps that must be followed in order to take the reader through key learning points and work through complex analyses. The text contains hundreds of screenshots of the sequential inputs required to drive MINITAB, along with the outputs as well as concise explanation of the statistics being performed and interpretation of results. [484 Seiten, Hardcover]

mehr...

Introductory Statistics, Student Solutions Manual

Mann, Prem S. — 13 Feb 2013 08:17:44 +0100

The 8th edition of Mann's Introductory Statistics continues to offer a traditional approach to introductory statistics. Mann delivers information that business professionals need including the most up-to-date methods and applications and latest information in the field. The new edition focuses on explaining how to apply the concepts through case studies and numerous examples. Data integrated throughout the chapters come from a wide range of disciplines and media sources. More 200 examples are included along with marginal notes and step-by-step solutions. [212 Seiten, Softcover]

mehr...

Biostatistics

Daniel, Wayne W. / Cross, Chad L. — 13 Feb 2013 08:17:35 +0100

This Tenth Edition of Biostatistics maintains its predecessors' comprehensive approach to biostatistics as it is used in the biological sciences. Successfully utilized by both statisticians and practitioners, Biostatistics is an algebra-based text geared towards the advanced undergraduate and graduate student. This new edition has been revised to more closely align with the modern practice of biostatics, teaching methods, and technologies. [960 Seiten, Softcover]

mehr...

Introductory Statistics International Student Version

Mann, Prem S. — 6 Feb 2013 08:18:40 +0100

Introductory Statistics is written for a one or two semester first course in applied statistics and is intended for students who do not have a strong background in mathematics. The only prerequisite is knowledge of elementary algebra. Introductory Statistics is known for its realistic examples and exercises, clarity and brevity of presentation, and soundness of pedagogical approach. [760 Seiten, Softcover]

mehr...

Log-Linear Modeling

von Eye, Alexander / Mun, Eun-Young — 23 Jan 2013 08:17:28 +0100

Utilizing real-world examples along with R and SYSTAT software, this book describes the multidisciplinary applications of new and advanced methods, models, and applications of log-linear modeling. The coverage fills a unique void in current literature on categorical data analysis by focusing on log-linear modeling as a distinct, coherent methodology and utilizing an applications-driven approach for readers who are not primarily statisticians. It presents the topic in an accessible style that is customized for applied researchers who utilize log-linear modeling in the social sciences. [472 Seiten, Hardcover]

mehr...

Understanding and Applying Research Design

Abbott, Martin Lee / McKinney, Jennifer — 21 Jan 2013 08:18:01 +0100

This introductory guide provides a fresh approach to integrating design and statistics in a hands-on fashion that incorporates the power of SPSS(r) software to solve real-world problems. It explores the areas of design and causation--allowing readers to pose, test, and interpret research questions with live data. By integrating exercises and worksheets, the book allows readers to examine real world data from various fields of research--making it an ideal text for professionals and upper-level students involved in the social sciences. [304 Seiten, Hardcover]

mehr...

Handbook of Regression Analysis

Chatterjee, Samprit / Simonoff, Jeffrey S. — 21 Jan 2013 08:17:26 +0100

A Comprehensive Account for Data Analysts of the Methods and Applications of Regression Analysis. Written by two established experts in the field, the purpose of the Handbook of Regression Analysis is to provide a practical, one-stop reference on regression analysis. The focus is on the tools that both practitioners and researchers use in real life. It is intended to be a comprehensive collection of the theory, methods, and applications of regression methods, but it has been deliberately written at an accessible level. The handbook provides a quick and convenient reference or refresher on ideas and methods that are useful for the effective analysis of data and its resulting interpretations. Students can use the book as an introduction to and/or summary of key concepts in regression and related course work (including linear, binary logistic, multinomial logistic, count, and nonlinear regression models). Theory underlying the methodology is presented when it advances conceptual understanding and is always supplemented by hands-on examples. References are supplied for readers wanting more detailed material on the topics discussed in the book. R code and data for all of the analyses described in the book are available via an author-maintained website. [240 Seiten, Hardcover]

mehr...

Multiple Imputation and its Application

Carpenter, James / Kenward, Michael — 21 Jan 2013 08:17:23 +0100

This book has three main goals: to provide a thorough introduction to the general MI methods, to provide a detailed discussion of the practical use of the MI method, and to present real-world examples drawn from the field of biostatistics. Illustrated throughout, the coverage encompasses different issues that arise in the use of MI in observational and clinical trial settings. Relevant computer code and data are provided for the examples used throughout the book and include SAS, Stata, WinBUGS, MLwiN, and R. [364 Seiten, Hardcover]

mehr...

Statistical Diagnostics for Cancer

Emmert-Streib, Frank / Dehmer, Matthias (eds.) — 17 Jan 2013 08:17:38 +0100

The title is one of the few aiding researchers on the use of statistics for large data sets in cancer diagnostics. A welcome guide for the increasing collaborations between mathematicians and medical researchers. [XX, 292 Seiten, Hardcover]

mehr...

Managerial Economics

Alhabeeb, M. J. / Moffitt, L. J. — 14 Jan 2013 08:19:31 +0100

This completely accessible, classroom-tested book focuses on the need for training in managerial economics to be more responsive to the presence of uncertainty surrounding managerial decisions. It takes a mathematical and statistical approach to microeconomics and provides the opportunity for quantitative methods to illustrate and clarify the underlying fundamental logic of problem solving. Filled with real-life examples and problems, it covers methodological and mathematical fundamentals; decisions at the consumer, firm, and market levels; decision and risk analysis; and decisions under uncertainty. [608 Seiten, Hardcover]

mehr...

Statistics

14 Jan 2013 08:18:13 +0100

This book incorporates the use of available technologies and modern methods of data analysis. The text focuses on providing conceptual understanding of the main themes of statistical inference, to provide a more solid grasp of the core ideas of statistics and make it relatively easy to apply those ideas to more theoretical and advanced statistics topics. Furthermore, the text offers cutting edge ideas like randomization and bootstrapping to introduce the fundamental ideas of statistical inference to enhance understanding, make statistics come alive, and deliver improved retention. [736 Seiten, Hardcover]

mehr...

Categorical Data Analysis

Agresti, Alan — 14 Jan 2013 08:18:03 +0100

A classic in its own right, this book continues to provide an introduction to modern generalized linear models for categorical variables. The text emphasizes methods that are most commonly used in practical application, such as classical inferences for two- and three-way contingency tables, logistic regression, loglinear models, models for multinomial (nominal and ordinal) responses, and methods for repeated measurement and other forms of clustered, correlated response data. Chapter headings remain essentially with the exception of a new one on Bayesian inference for parametric models. Other major changes include an expansion of clustered data, new research on analysis of data sets with robust variables, extensive discussions of ordinal data, more on interpretation, and additional exercises throughout the book. R and SAS are now showcased as the software of choice. An author web site with solutions, commentaries, software programs, and data sets is available. [744 Seiten, Hardcover]

mehr...

Statistik mit R

Crawley, Michael J. — 11 Jan 2013 08:17:46 +0100

Michael J. Crawley stellt in seiner Einführung in die Statistik für Nebenfachstudenten die grafische Interpretation von Daten mit R in den Mittelpunkt und hilft durch anschauliche Schritt-für-Schritt-Anleitungen, methodologische Grundlagen zu erarbeiten. [424 Seiten, Softcover]

mehr...

Computational and Statistical Methods for Protein Quantification by Mass Spectrometry

Eidhammer, Ingvar / Barsnes, Harald / Eide, Geir Egil / Martens, Lennart — 7 Jan 2013 08:18:59 +0100

The definitive introduction to data analysis in quantitative proteomics This book provides all the necessary knowledge about mass spectrometry based proteomics methods and computational and statistical approaches to pursue the planning, design and analysis of quantitative proteomics experiments. The author's carefully constructed approach allows readers to easily make the transition into the field of quantitative proteomics. Through detailed descriptions of wet-lab methods, computational approaches and statistical tools, this book covers the full scope of a quantitative experiment, allowing readers to acquire new knowledge as well as acting as a useful reference work for more advanced readers. Computational and Statistical Methods for Protein Quantification by Mass Spectrometry: * Introduces the use of mass spectrometry in protein quantification and how the bioinformatics challenges in this field can be solved using statistical methods and various software programs. * Is illustrated by a large number of figures and examples as well as numerous exercises. * Provides both clear and rigorous descriptions of methods and approaches. * Is thoroughly indexed and cross-referenced, combining the strengths of a text book with the utility of a reference work. * Features detailed discussions of both wet-lab approaches and statistical and computational methods. With clear and thorough descriptions of the various methods and approaches, this book is accessible to biologists, informaticians, and statisticians alike and is aimed at readers across the academic spectrum, from advanced undergraduate students to post doctorates entering the field. [360 Seiten, Hardcover]

mehr...

A First Course in Probability and Markov Chains

Modica, Giuseppe / Poggiolini, Laura — 20 Dec 2012 08:18:34 +0100

Provides an introduction to basic structures of probability with a view towards applications in information technology A First Course in Probability and Markov Chains presents an introduction to the basic elements in probability and focuses on two main areas. The first part explores notions and structures in probability, including combinatorics, probability measures, probability distributions, conditional probability, inclusion-exclusion formulas, random variables, dispersion indexes, independent random variables as well as weak and strong laws of large numbers and central limit theorem. In the second part of the book, focus is given to Discrete Time Discrete Markov Chains which is addressed together with an introduction to Poisson processes and Continuous Time Discrete Markov Chains. This book also looks at making use of measure theory notations that unify all the presentation, in particular avoiding the separate treatment of continuous and discrete distributions. A First Course in Probability and Markov Chains: * Presents the basic elements of probability. * Explores elementary probability with combinatorics, uniform probability, the inclusion-exclusion principle, independence and convergence of random variables. * Features applications of Law of Large Numbers. * Introduces Bernoulli and Poisson processes as well as discrete and continuous time Markov Chains with discrete states. * Includes illustrations and examples throughout, along with solutions to problems featured in this book. The authors present a unified and comprehensive overview of probability and Markov Chains aimed at educating engineers working with probability and statistics as well as advanced undergraduate students in sciences and engineering with a basic background in mathematical analysis and linear algebra. [346 Seiten, Hardcover]

mehr...

Basic Statistics for Social Research

Hanneman, Robert A. / Kposowa, Augustine J. / Riddle, Mark D. — 17 Dec 2012 08:17:33 +0100

Basic Statistics for Social Research offers an introduction to core general statistical concepts and methods. It covers procedural aspects of the application of statistical methods for data-description ; and hypothesis-testing ; distributions, tabulations, central tendency, variability, independence, correlation and regression. The use of math and theory are deliberately limited, and the authors focus on how the concepts and tools of statistics are used in the analysis of social science data, rather than on the mathematical and computational aspects. The book also emphasizes the use of computer software to calculate statistics. The book is designed for students in the social sciences. [560 Seiten, Softcover]

mehr...

Statistics

14 Dec 2012 08:17:26 +0100

Clinical Trials Handbook

Meinert, Curtis L. — 12 Dec 2012 08:17:47 +0100

Written by an eminent epidemiologist and clinician, this comprehensive book outlines and categorizes the required methodological steps employed in the clinical trial evaluation process. The author appropriately mixes the scientific, logistical, ethical, psychological, behavioral, and administrative issues inherent in the field, while also emphasizing conduct, performance, and protocol. With questions posed to pique reader interest; concepts readily available through an organizational hierarchy; and PowerPoint slide suggestions showcased throughout, this is a must-have book for all practicing clinicians and teachers of clinical trials courses. [600 Seiten, Hardcover]

mehr...

Methods and Applications of Statistics in the Atmospheric and Earth Sciences

Balakrishnan, N. — 12 Dec 2012 08:17:24 +0100

Presenting a concise, well-rounded focus on the statistical concepts and applications that are essential for understanding gathered data in the earth and atmospheric sciences. Containing contributions from over 100 leading academics, researchers, and practitioners in these fields, this comprehensive book unveils modern, approaches to the acquisition and analysis of data across diverse subject areas like geology, agriculture, animal science, and geophysics. It discusses techniques related to survey methodology, computational statistics, and operations research and covers new areas of interest like non-linear weather forecasting, construction geological surveys, and water pollution assessment. [384 Seiten, Hardcover]

mehr...

The R Book

Crawley, Michael J. — 10 Dec 2012 08:21:56 +0100

As one of the most powerful and flexible statistical software packages, R is fast becoming the universal language in which to obtain and present results. The second edition of a bestselling guide, this user-friendly book explains the advantages of the R environment to beginners and intermediate users in a range of disciplines, from science and engineering to medicine and economics. The new edition is thoroughly revised to address the evolution of R over the past five years, featuring links to other languages, a new chapter on Bayesian Analysis, as well as practical guidance and numerous worked examples throughout. [1076 Seiten, Hardcover]

mehr...

Computational Statistics

Givens, Geof H. / Hoeting, Jennifer A. — 10 Dec 2012 08:21:54 +0100

Retaining the general organization and style of its predecessor, this new edition continues to serve as a comprehensive guide to modern and classical methods of statistical computing and computational statistics. Approaching the topic in three major parts--optimization, integration, and smoothing--the book includes an overview section in each chapter introduction and step-by-step implementation summaries to accompany the explanations of key methods; expanded coverage of Monte Carlo sampling and MCMC; a chapter on Alternative Viewpoints; a related Web site; new exercises; and more. [496 Seiten, Hardcover]

mehr...

An Introduction to Analysis of Financial Data with R

Tsay, Ruey S. — 10 Dec 2012 08:21:53 +0100

This book provides a systematic and mathematically accessible introduction to financial econometric models and their applications in modeling and predicting financial time series data. It emphasizes empirical financial data and focuses on real-world examples. Following this approach, readers will master key aspects of financial time series, including volatility modeling, neural network applications, market microstructure, and high-frequency financial data. Ample exercises provide readers with more opportunities to put models and methods into everyday practice. The tools provided will help readers better understand financial markets through firsthand experience with financial data, without needless computation. [416 Seiten, Hardcover]

mehr...

Financial Risk Modelling and Portfolio Optimization with R

Pfaff, Bernhard — 10 Dec 2012 08:21:52 +0100

Accompanied by a supporting website featuring examples and case studies in R, Financial Risk Modelling and Portfolio Optimization with R examines portfolio optimization from the perspective of computational finance and financial engineering. This comprehensive, computationally oriented treatment of modern portfolio optimization and construction methods provides readers with an advanced set of powerful tools to solve the problems in the field. Coverage includes: facts, loss function and risk measures, conditional and unconditional modelling of risk, extreme value theory, generalized hyperbolic distribution and volatility modeling, portfolio optimization, copulae, portfolio risk concepts, optimization with risk constraints, ALM, LDI, Core-Satellite, and minimum CVAR portfolio. [374 Seiten, Hardcover]

mehr...

Probability, Random Variables, and Random Processes

Shynk, John J. — 10 Dec 2012 08:20:31 +0100

Probability is ubiquitous in every branch of science and engineering. This text on probability and random processes assumes basic prior knowledge of the subject at the undergraduate level. Targeted for first- and second-year graduate students in engineering, the book provides a more rigorous understanding of probability via measure theory and fields and random processes, with extensive coverage of correlation and its usefulness. The book also provides the background necessary for the study of such topics as digital communications, information theory, adaptive filtering, linear and nonlinear estimation and detection, and more. [794 Seiten, Hardcover]

mehr...

Visual Data Mining

Anderson, Russell — 19 Nov 2012 08:18:49 +0100

This book presents data mining tools, data visualizations and provides a comprehensive set of non-trivial datasets and problems with accompanying software that support students in learning, understanding, and practicing the entire data mining process. Visual Data Mining introduces the methodology for conducting data mining analysis along with data visualization approaches to data mining using VisMiner. VisMiner is a data mining tool that has been developed specifically to bridge the gap between theory and practice. [208 Seiten, Hardcover]

mehr...

Case Studies in Bayesian Statistical Modelling and Analysis

Alston, Clair L. / Mengersen, Kerrie L. / Pettitt, Anthony N. (eds.) — 19 Nov 2012 08:18:47 +0100

Case Studies in Bayesian Statistical Modelling and Analysis provides an accessible foundation into Bayesian modelling and analysis using real-world models. Each chapter comprises of a description of the problem, the corresponding model, the computational method, results, and inferences as well as the issues that arise in the implementation of these approaches. Coverage focuses on a real-world problems drawn from the editors' own experiences while illustrating the way in which the problem can be analyzed using Bayesian methods. [598 Seiten, Hardcover]

mehr...

A Modern Theory of Random Variation

Muldowney, Patrick — 19 Nov 2012 08:18:11 +0100

With a rigorous theorem-proof approach to stochastic models for financial mathematics as well as a unique focus on Feynman path integration, this book presents the theory of random processes and has applications in numerous areas including applied mathematics and statistics, finance, communication engineering, quantum mechanics, and physics. The coverage presents a new framework in which the Feynman path integrals are actual integrals that are used to express Feynman diagrams as a convergent series of integrals. It functions a reference and self-study for financial and business investment professionals as well as a graduate text. [544 Seiten, Hardcover]

mehr...

Spatio-temporal Design

Mateu, Jorge / Müller, Werner G. (eds.) — 19 Nov 2012 08:17:38 +0100

Bridging classic ideas with modern statistical modeling concepts and the latest computational methods, Spatio-temporal Design offers a state-of-the-art account of how to collect space-time data for monitoring. A common problem set is interwoven throughout the chapters, providing various perspectives to illustrate a complete insight to each problem. Motivated by the high demand for statistical analysis of data that takes spatial and spatio-temporal information into account, this book incorporates ideas from the areas of time series, spatial statistics and stochastic processes, and combines them to discuss optimum spatio-temporal sampling design. [370 Seiten, Hardcover]

mehr...

Statistik II für Dummies

Rumsey, Deborah — 8 Nov 2012 08:17:16 +0100

Statistik ist nicht jedermanns Sache, fortgeschrittene Statistik erst recht nicht, sie gilt als trocken und schwierig. »Statistik II für Dummies« führt Sie so leicht verständlich wie möglich ein in Daten- und Varianzanalyse, den Chi-Quadrat-Test und vieles mehr. [372 Seiten, Softcover]

mehr...

Probabilistic Reliability Models

Ushakov, Igor A. — 7 Nov 2012 08:18:04 +0100

Featuring practical approaches to various reliability theory applications, this book--the first of three in a series--helps readers to understand and properly utilize statistical methods and optimal resource allocation to solve everyday engineering problems. It contains many illustrative numerical examples and explanatory figures, numerous exercises with solutions and explanations, and detailed case studies related to real-world technical projects. Topical coverage includes an overview of reliability; unrecoverable objects; recoverable systems; Markov models; heuristic models; time redundancy; aging units; methods of direct enumeration; performance effectiveness; system survivability; and multistate systems. [248 Seiten, Hardcover]

mehr...

Methods and Applications of Statistics in the Social and Behavioral Sciences

Balakrishnan, N. — 7 Nov 2012 08:17:33 +0100

Based on the multifaceted Encyclopedia of Statistical Sciences, Second Edition, this concise book outlines the statistical concepts and techniques for application that are essential for understanding data gathered from modern research in the social and behavioral sciences. Methods and Applications of Statistics in the Social and Behavioral Sciences combines both previously published and newly developed contributions written by over 100 leading academics, researchers, and practitioner in a comprehensive, approachable format. This succinct reference unveils modern, cutting-edge approaches to acquiring and analyzing data across diverse subjects for students, academics, and researchers. [582 Seiten, Hardcover]

mehr...