Wiley-VCH - Statistik

Clinical Trial Design

Yin, Guosheng — 10 Feb 2012 08:17:13 +0100

This book provides an overview of the fundamentals of clinical trials, the key terminologies and concepts, a brief review of basic statistics, and Bayesian and frequentist estimation and inference procedures. It addresses various statistical methods for designing clinical trials and interim monitoring and analysis from both Bayesian and frequentist perspectives. Comprehensive discussions on a variety of statistical designs, their properties, and operating characteristics for phase I, II and III clinical trials are provided, as well as an introduction on phase IV trials. Statisticians, biostatisticians and researchers will rely on this volume; it can also be used as a course book for a one-semester or two-semester course on clinical trial designs. [364 Seiten, Hardcover]

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Applied Business Statistics

Black, Ken — 6 Feb 2012 08:18:49 +0100

Black's latest outstanding pedagogy of Business Statistics includes the use of extra problems called Demonstration Problems to provide additional insight and explanation to working problems, and presents concepts, topics, formulas, and application in a manner that is palatable to a vast audience and minimizes the use of scary formulas. Every chapter opens up with a vignette called a Decision Dilemma about real companies, data, and business issues. Solutions to these dilemmas are presented as a feature called Decision Dilemma Solved. In this edition all cases and Decision Dilemmas are updated and revised and 1/3 have been replaced for currency. There is also a significant number of additional problems and an extremely competitive collection of databases (containing real data) on: international stock markets, consumer food, international labor, financial, energy, agribusiness, 12-year gasoline, manufacturing, and hospital. [880 Seiten, Softcover]

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A Practical Guide to Cluster Randomised Trials in Health Services Research

Eldridge, Sandra / Ukoumunne, Obioha — 6 Feb 2012 08:17:18 +0100

Cluster randomisedtrials are trials in which groups (or clusters) of individuals are randomly allocated to different forms of treatment. In health care, these trials often compare different ways of managing a disease or promoting healthy living, in contrast to conventional randomised trials which randomise individuals to different treatments, classically comparing new drugs with a placebo. They are increasingly common in health services research. This book addresses the statistical, practical, and ethical issues arising from allocating groups of individuals, or clusters, to different interventions. Key features: * Guides readers through the stages of conducting a trial, from recruitment to reporting. * Presents a wide range of examples with particular emphasis on trials in health services research and primary care, with both principles and techniques explained. * Topics are specifically presented in the order in which investigators think about issues when they are designing a trial. * Combines information on the latest developments in the field together with a practical guide to the design and implementation of cluster randomised trials. * Explains principles and techniques through numerous examples including many from the authors own experience. * Includes a wide range of references for those who wish to read further. This book is intended as a practical guide, written for researchers from the health professions including doctors, psychologists, and allied health professionals, as well as statisticians involved in the design, execution, analysis and reporting of cluster randomised trials. Those with a more general interest will find the plentiful examples illuminating. [298 Seiten, Hardcover]

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Stochastic Methods for Pension Funds

De Volder, Pierre / Janssen, Jacques / Manca, Raimondo — 30 Jan 2012 08:18:34 +0100

The aim of this book is to fill this gap and to show how recent methods of stochastic finance can be useful for to the risk management of pension funds. Methods of optimal control will be especially developed and applied to fundamental problems such as the optimal asset allocation of the fund or the cost spreading of a pension scheme. In these various problems, financial as well as demographic risks will be addressed and modelled. [320 Seiten, Hardcover]

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Accelerated Reliability and Durability Testing Technology

Klyatis, Lev M. — 30 Jan 2012 08:17:18 +0100

The book gives engineers the techniques and tools they need to use accelerated reliability testing (ART) and accelerated durability testing (ART) as key factors to accurately predict a product's quality, reliability, durability, and maintainability during given time (service life, warranty period, and other). The book covers a new ideas and unique approach to accurate simulation and integration of field inputs, safety, and human factors, as well as accelerated product development, as components of interdisciplinary systems engineering. Professionals will find in this book the answer how one can carry out ART and ADT technology in a practical manner. Learn how the implementation of ART and ADT can solve previously inaccessible problems in engineering, reduce product recalls, cost, and time during design, manufacture, and usage. [432 Seiten, Hardcover]

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Multivariate Analysis for the Biobehavioral and Social Sciences

Brown, Bruce L. / Hendrix, Suzanne B. / Hedges, Dawson W. / Smith, Timothy B. — 25 Jan 2012 08:17:15 +0100

Multivariate Analysis for the Social Sciences provides clear guidelines combined with the insight needed to understand the methods and applications of multivariate statistics. This easy-to-follow book provides students in social, behavioral, and health science-whose focus is not primarily in mathematics-with an abundance of chapter-ending questions and answers, including: conceptual questions about the meaning of each method; questions that test the reader's ability to carry out the computational procedures on simple datasets; and data analysis questions for using analytical packages to analyze both simplest case data and also to practice with more realistic datasets. [496 Seiten, Hardcover]

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Wahrscheinlichkeitsrechnung für Dummies

Rumsey, Deborah — 19 Jan 2012 08:17:18 +0100

Die Wahrscheinlichkeitsrechnung kommt in der Schule oft etwas zu kurz. »Wahrscheinlichkeitsrechnung für Dummies« erklärt den Lesern ganz sicher, wie sie sehr wahrscheinlich nie wieder Probleme mit diesem Bereich der Mathematik haben werden. [371 Seiten, Softcover]

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Modern Analysis of Customer Surveys

Kenett, Ron S. / Salini, Silvia — 9 Jan 2012 08:17:46 +0100

This book introduces customer satisfaction surveys, with a focus on the classical problems of analyzing them. Each chapter describes, in detail, a different technique applied to the standard dataset along with R scripts on a supporting website. Most of the techniques featured are applied to a standard set of data collected from 266 companies (customers) participating in the ABC Annual Customer Satisfaction Survey conducted by KPA in 2004 for an international electronics company. The data refers to a questionnaire that covered a wide range of service and product perspectives. [524 Seiten, Hardcover]

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Handbook of Modeling High-Frequency Data in Finance

Viens, Frederi G. / Mariani, Maria C. / Florescu, Ionut — 9 Jan 2012 08:17:37 +0100

Written and edited by leading, international experts in the field, Handbook of Modeling High-Frequency Data in Finance presents cutting-edge developments in high frequency financial econometrics, spanning a diverse range of topics: stochastic modeling, statistical analysis of high-frequency data, models in econophysics, applications to the analysis of high-frequency data, and systems and complex adaptive systems in finance, among others. By using examples derived from consulting projects, current research, and course instruction, each chapter offers practitioners a systematic understanding of the recent advances in high-frequency modeling related to real-world situations. [456 Seiten, Hardcover]

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Handbook of Web Surveys

Bethlehem, Jelke / Biffignandi, Silvia — 21 Dec 2011 08:17:21 +0100

While web surveys are a popular, quick, and cheap form of data collection, there are many methodological issues that factor into conducting them. A valuable reference on the theoretical and practical aspects of the topic, this book addresses the design of user-friendly web surveys, as well as creation of proper samples. The authors also delve into how under-coverage, self-selection, adjustment weighting, and propensity scores affect constructive web survey development. Accompanied by a website, this book offers best practices for efficient construction, implementation, and analysis of web surveys. [480 Seiten, Hardcover]

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Loss Models

Klugman, Stuart A. / Panjer, Harry H. / Willmot, Gordon E. — 12 Dec 2011 08:18:22 +0100

[Hardcover]

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Statistics in Psychology Using R and SPSS

Rasch, Dieter / Kubinger, Klaus / Yanagida, Takuya — 12 Dec 2011 08:17:44 +0100

This book covers all statistical methods needed in education and research in psychology, and looks at research questions when planning data sampling, that is, to design the intended study and calculate the sample sizes in advance. It also looks at the process of empirical research in seven stages: formulation of the problem; stipulation of the precision requirements; selecting the statistical model for the planning and analysis; (optimal) design of the experiment or survey; performing the experiment or the survey; statistical analysis of the observed results; and interpretation of the results. [568 Seiten, Hardcover]

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Engineering Statistics

Montgomery, Douglas C. / Runger, George C. / Hubele, Norma F. — 12 Dec 2011 08:17:22 +0100

Montgomery, Runger, and Hubele provide modern coverage of engineering statistics, focusing on how statistical tools are integrated into the engineering problem-solving process. All major aspects of engineering statistics are covered, including descriptive statistics, probability and probability distributions, statistical test and confidence intervals for one and two samples, building regression models, designing and analyzing engineering experiments, and statistical process control. Developed with sponsorship from the National Science Foundation, this revision incorporates many insights from the authors' teaching experience along with feedback from numerous adopters of previous editions. [536 Seiten, Softcover]

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Loss Models

Klugman, Stuart A. — 9 Dec 2011 08:17:27 +0100

This online, multi-color, self-looping electronic product has full text with searchable links; more than 75 plugged-in data sets (in EXCEL); thousands of uniquely-designed and randomly-selected sample SOA/CAS/CIA test exercises, complete with hints and worked-out solutions; multiple forms of simulated exams; and a built-in record-keeping system. There are three modules in this application: * In the Prologue Module you will find information about the book and its authors. You will also find detailed instructions on how to best use this product. * The Chapter Modules represent the text proper, complete with examples and exercise/solution sets (some static, some with spreadsheet functionality, and some with regeneration functionality). * The Exam Modules are simulations of the actuarial Exam C/4. Each Exam features multiple choice questions similar in content and difficulty to those on C/4. There are no hints, but detailed solutions are provided. Upon ordering, customers will receive an email that contains their registration code, which is needed to access the eKlugman Online 3rd Edition website. To explore our additional offerings in actuarial exam preparation visit www.wiley.com/go/c4actuarial It is the perfect electronic substitute for a traditional linear book. Price includes one-year access/subscription. Once purchased, the product is nonreturnable. [2 Seiten, Softcover]

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Loss Models

Klugman, Stuart A. — 6 Dec 2011 08:17:32 +0100

[Softcover]

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Empirical Model Building

Thompson, James R. — 5 Dec 2011 08:19:42 +0100

Praise for the First Edition This...novel and highly stimulating book, which emphasizes solving real problems...should be widely read. It will have a positive and lasting effect on the teaching of modeling and statistics in general. - Short Book Reviews This new edition features developments and real-world examples that showcase essential empirical modeling techniques Successful empirical model building is founded on the relationship between data and approximate representations of the real systems that generated that data. As a result, it is essential for researchers who construct these models to possess the special skills and techniques for producing results that are insightful, reliable, and useful. Empirical Model Building: Data, Models, and Reality, Second Edition presents a hands-on approach to the basic principles of empirical model building through a shrewd mixture of differential equations, computer-intensive methods, and data. The book outlines both classical and new approaches and incorporates numerous real-world statistical problems that illustrate modeling approaches that are applicable to a broad range of audiences, including applied statisticians and practicing engineers and scientists. The book continues to review models of growth and decay, systems where competition and interaction add to the complextiy of the model while discussing both classical and non-classical data analysis methods. This Second Edition now features further coverage of momentum based investing practices and resampling techniques, showcasing their importance and expediency in the real world. The author provides applications of empirical modeling, such as computer modeling of the AIDS epidemic to explain why North America has most of the AIDS cases in the First World and data-based strategies that allow individual investors to build their own investment portfolios. Throughout the book, computer-based analysis is emphasized and newly added and updated exercises allow readers to test their comprehension of the presented material. Empirical Model Building, Second Edition is a suitable book for modeling courses at the upper-undergraduate and graduate levels. It is also an excellent reference for applied statisticians and researchers who carry out quantitative modeling in their everyday work. [464 Seiten, Hardcover]

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The Analysis of Covariance and Alternatives

Huitema, Bradley — 5 Dec 2011 08:19:40 +0100

Analysis of Covariance and Alternatives presents a comprehensive applied treatment of the analysis of covariance (ANOVA). This major revision of a classic includes six new chapters: the logic behind ANCOVA, missing data, diagnostic procedures, the analysis of crossover designs, covariate selection, robust analysis, one-factor random effects, methods for broken experiments, and analysis of quasi-experiments and observational studies using the Rubin Causal Model framework. The text provides behavioral and medical science graduate students and researchers with detailed descriptions of assumptions, the consequences of violating assumptions, and alternative procedures to follow. [688 Seiten, Hardcover]

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An Introduction to Bootstrap Methods with Applications to R

Chernick, Michael R. / LaBudde, Robert A. — 5 Dec 2011 08:19:39 +0100

In less than two decades, the bootstrap has grown from an obscure object of theoretical study to a widely used resampling method with broad applications in numerous real-world situations. Providing both an elementary and a modern overview to the bootstrap, An Introduction to Bootsrap Methods With Applications to R offers reliable, hands-on coverage of the bootstrap's considerable advantages as well as its drawbacks. This carefully crafted textbook introduces the method at a remarkably practical, accessible level for advanced undergraduate or beginning graduate students in engineering, the sciences, clinical medicine, and statistics. [240 Seiten, Hardcover]

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Developing Econometrics

Tong, Hengqing / Kumar, T. Krishna / Huang, Yangxin — 28 Nov 2011 08:17:34 +0100

Statistical Theories and Methods with Applications to Economics and Business highlights recent advances in statistical theory and methods that benefit econometric practice. It deals with exploratory data analysis, a prerequisite to statistical modelling and part of data mining. It provides recently developed computational tools useful for data mining, analysing the reasons to do data mining and the best techniques to use in a given situation. * Provides a detailed description of computer algorithms. * Provides recently developed computational tools useful for data mining * Highlights recent advances in statistical theory and methods that benefit econometric practice. * Features examples with real life data. * Accompanying software featuring DASC (Data Analysis and Statistical Computing). Essential reading for practitioners in any area of econometrics; business analysts involved in economics and management; and Graduate students and researchers in economics and statistics. [486 Seiten, Hardcover]

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Making Sense of Data III

Myatt, Glenn J. / Johnson, Wayne P. — 28 Nov 2011 08:17:26 +0100

As third in the series, this book focuses on a style of data analysis that makes graphics central to exploration. Making Sense of Data III explains how to implement decision support systems and provides an interactive approach to data analysis that allows users to see, manipulate, explore, mine data, and share results with colleagues. This book is divided into four parts: Exploring data through design; Design; Architecture; and Applications. It is an essential book for understanding the principal role that graphics play in data visualization. [408 Seiten, Softcover]

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Statistics for Imaging, Optics, and Photonics

Bajorski, Peter — 28 Nov 2011 08:17:24 +0100

This is the first book fully devoted to the implementation of statistical methods in imaging, optics, and photonics applications with a concentration on statistical inference. The text contains a wide range of relevant statistical methods, including a review of the fundamentals of statistics and expanding into multivariate techniques. The techniques are explained in the context of real examples from various disciplines. It serves as a reference for professionals working in imaging, optics, and photonics; as a textbook for advanced undergraduate and graduate-level courses in multivariate statistics for imaging science, optics, and photonics; and as a supplementary resource in any of the above mentioned courses. [408 Seiten, Hardcover]

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Approximate Dynamic Programming

Powell, Warren B. — 21 Nov 2011 08:17:30 +0100

Understanding approximate dynamic programming (ADP) in large industrial settings helps develop practical and high-quality solutions to problems that involve making decisions in the presence of uncertainty. With a focus on modeling and algorithms in conjunction with the language of mainstream operations research, artificial intelligence, and control theory, this second edition of Approximate Dynamic Programming Solving the Curses of Dimensionality uniquely integrates four distinct disciplines-Markov design processes, mathematical programming, simulation, and statistics-to show students, practitioners, and researchers how to successfully model and solve a wide range of real-life problems using ADP. [656 Seiten, Hardcover]

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Loss Models

Klugman, Stuart A. — 18 Nov 2011 08:17:23 +0100

[Hardcover]

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Simplicity, Complexity and Modelling

Christie, Mike / Cliffe, Andrew / Dawid, Philip / Senn, Stephen S (eds.) — 14 Nov 2011 08:17:28 +0100

Simplicity, Complexity and Modelling is based upon an EPSRC-funded project aimed at sharing understanding of modelling complex phenomena. The aim of the book is to ease communication between modellers in different disciplines. The book is useful to physicists wishing to find out about statistical approaches to modelling and to statisticians wishing to learn about modelling in the physical sciences. It is also a useful source of modelling case histories. The book provides a much-needed reference guide for approaching statistical modeling and a useful source for modeling case histories. [220 Seiten, Hardcover]

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Data Driven Business Decisions

Lloyd, Chris J. — 7 Nov 2011 08:17:24 +0100

Grounded in a solid business context with an emphasis on data-driven decision making, Data and Decisions for MBA's presents a down-to-earth treatment of the essentials of statistics. The book introduces chapters with a deeply contextual motivating example, followed by further details, raw data, and motivating insights. The author includes algebraic notation only when necessary and/or useful and presents both the pros and cons of statistical methods. Excel, StatPro, and Treeplan are showcased throughout the book for MBA students at the beginning graduate level or for on-the-job practitioners. [512 Seiten, Hardcover]

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Fundamentals of Stochastic Networks

Ibe, Oliver C. — 4 Nov 2011 08:17:49 +0100

This book uniquely combines queuing networks with Bayesian, Boolean, and random networks and provides an interdisciplinary approach by including applications in biology, communications, mathematics, engineering, and operations management. Combining techniques from stochastic processes and graph theory to analyze the behavior of networks, the book includes science and engineering applications, many practical examples that include related mathematical details, and numerous solved examples. It serves as both a reference for researchers and network professionals and as an upper-undergraduate and graduate-level coursebook. [312 Seiten, Hardcover]

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ANOVA and ANCOVA

Rutherford, Andrew — 31 Oct 2011 08:19:30 +0100

This new edition continues to provide a contemporary look at the nature of GLM (general linear model) analyses, describing how to implement such analyses throughout the experiment design process, from data examination to the testing of hypotheses. All chapters have been revised, as each area of coverage now concludes with discussion of tests of main effects and type 1 error issues. Furthermore, a new chapter on hierarchical models introduces the use of this technique to methods in experimental psychology. ANOVA and ANCOVA is designed for practitioners in the fields of psychology, biology, medicine, economics, and sociology. [360 Seiten, Hardcover]

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Handbook of Statistical Systems Biology

Stumpf, Michael / Balding, David J. / Girolami, Mark — 24 Oct 2011 08:18:40 +0200

This book provides a full and detailed treatment of important and emerging fields of statistical systems biology, with a focus on characterizing uncertainty and stochastic effects in mathematical models of biological systems. Written by leading experts in the field, it introduces statistical methods for complex systems and Bayesian methodology for systems biology; covers networks and graphical modeling as well as a wide range of statistical models and dynamical systems; and is packed with color to help illustrate key concepts and accompanied by a multimedia website with 3D visualizations. [530 Seiten, Hardcover]

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Statistical Pattern Recognition

Webb, Andrew R. / Copsey, Keith Derek / Cawley, Gavin — 24 Oct 2011 08:18:38 +0200

Updated to cover the latest developments in statistical pattern recognition, this Third Edition of Statistical Pattern Recognition provides an introduction to the theory and techniques, with material drawn from a wide range of fields. The book describes techniques for analyzing data comprising measurements made on individuals or objects, with emphasis placed on techniques for classification. New material presents practitioners and researchers with the analysis of complex networks and basic techniques for analyzing the properties of datasets, the use of variational methods for Bayesian density estimation, and new applications in biometrics and security. [666 Seiten, Softcover]

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Statistical Pattern Recognition

Webb, Andrew R. / Copsey, Keith Derek / Cawley, Gavin — 24 Oct 2011 08:18:37 +0200

The Essentials of Biostatistics for Physicians, Nurses, and Clinicians

Chernick, Michael R. — 3 Oct 2011 08:17:31 +0200

Many universities, hospitals, and medical research facilities offer short courses in introductory biostatistics for the clinicians, fellows, nurses, and health practitioners to become familiarized with statistical methods. Written in a concise, clear, and straight-to-the-point style, this book begins with a basic introduction to the relationship between biostatistics and medical research. Subsequent chapters explore numerical techniques, including sampling from populations, graphics and summary statistics, normal distribution and related properties, estimating means and proportions, hypothesis testing, correlation, regression, diagnostics, logistic regression, contingency tables, nonparametric methods, and survival analysis. [224 Seiten, Softcover]

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Applied Longitudinal Analysis

Fitzmaurice, Garrett M. / Laird, Nan M. / Ware, James H. — 3 Oct 2011 08:17:19 +0200

Since the publication of the first edition, the authors have solicited feedback from both the instructors who use the book as a text for their courses as well as the researchers who use the book as a resource for their research. Thus, the improved Second Edition of Applied Longitudinal Analysis features many additions and revisions based on the feedback of readers, making it the go-to reference for applied use in public health, epidemiology, and pharmaceutical sciences. [740 Seiten, Hardcover]

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Data Mining

Kantardzic, Mehmed — 28 Sep 2011 08:17:54 +0200

In the age of Internet, intranets, data warehouses and data marts, and as data sets have grown in size and complexity, there has been an inevitable move towards indirect, automatic and intelligent data analysis in which the analyst works via more complex and sophisticated software tools. This book reviews state-of-the-art methodologies and techniques for analyzing enormous quantities of raw data in high-dimensional data spaces to extract new information for decision making. The book discusses data mining principles and methods and algorithms originating from different disciplines such as statistics, pattern recognition, machine learning, neural networks, fuzzy logic, and evolutionary computation. [552 Seiten, Hardcover]

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A Primer on Experiments with Mixtures

Cornell, John A. — 28 Sep 2011 08:17:45 +0200

Many products are formed by mixing together two or more ingredients. This is the only book to compile information on mixtures into one comprehensive volume. An abridged version of the author's bestselling, more advanced title on experiments with mixtures, this book shows readers how to design and set up basic mixture experiments and then analyze the data and draw inferences from the results. It provides worked examples for every method used, along with along with additional exercises, further transitional commentary, and new material on generalized linear models and mixture transformations. With brevity as a primary goal, the book is applicable for a one-semester course in design of experiments, as well as a reference for practitioners and researchers. [372 Seiten, Hardcover]

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Risk Assessment

Rausand, Marvin — 28 Sep 2011 08:17:42 +0200

Although numerous scientific articles have been published discussing various aspects of risk analysis and risk evaluation, very few textbooks exist on the subject. Risk Assessment: Theory, Methods, and Applications provides undergraduate and graduate students, practitioners, and researchers with a relevant and modern guide to current applications of risk analysis. Three succinct sections discuss the key theory, methods, and applications of risk assessment. All methods for risk analysis are outlined in a uniform fashion: an introduction; objectives and application; qualitative and quantitative description; required resources required; and related advantages and disadvantages. [664 Seiten, Hardcover]

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Fundamentals of Supply Chain Theory

Snyder, Lawrence V. / Shen, Zuo-Jun Max — 28 Sep 2011 08:17:32 +0200

This book focuses on long-term strategic location decision and tactical inventory planning for researchers and students dealing with supply chain management. It contains three parts: Centralized supply chain management (including strategic planning, inventory models, demand and supply chain uncertainty, and flexibility), Decentralizes supply chain management (including propagation of volatility and supply chain coordination), and the Future of supply chain management (including emerging topics). The book also features appendices on how to write proofs, helpful formulas, and other background material including probability basics, stochastic processes, and Lagrangian relaxation. [400 Seiten, Hardcover]

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Stellar Populations

Greggio, Laura / Renzini, Alvio — 22 Sep 2011 08:17:22 +0200

This only up-to-date reference on stellar populations and development models includes coverage of distant galaxies, chemical evolution and supernovae. Written by highly acclaimed authorities in the field, the text makes use of specific problems to reveal the kitchen secrets. [LII, 265 Seiten, Hardcover]

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Gravitational-Wave Physics and Astronomy

Creighton, Jolien D. E. / Anderson, Warren G. — 8 Sep 2011 08:17:10 +0200

Written by outstanding expert researchers directly involved with the LIGO, this most up-to-date, one-stop reference combines theory and observational techniques, while featuring introductory sections to bring all readers up to the same level. [XXII, 359 Seiten, Hardcover]

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Statistical Analysis of Profile Monitoring

Noorossana, Rassoul / Saghaei, Abbas / Amiri, Amirhossein — 5 Sep 2011 08:17:45 +0200

This groundbreaking reviews the latest research on the use of control charts to monitor process and product quality profiles. . It is written by experts in the field of statistical process control (such as J. D. Williams of General Electric Global Research, Jeffrey B. Birch at VPI, and Longcheen Huwang of the Institute of Statistics at Tsing Hua University Hsin Chu). The book presents a comprehensive coverage of profiles monitoring definitions, techniques, models, and application examples, especially in various fields of engineering and statistics. It covers state-of-the-art materials and deserves a place among the tools of every quality engineer who works in monitoring and improving statistical processes. [332 Seiten, Hardcover]

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Compositional Data Analysis

Pawlowsky-Glahn, Vera / Buccianti, Antonella (eds.) — 5 Sep 2011 08:17:35 +0200

This book presents the state-of-the-art in compositional data analysis and will feature a collection of papers covering theory, applications to various fields of science and software. Areas covered will range from geology, biology, environmental sciences, forensic sciences, medicine and hydrology. [400 Seiten, Hardcover]

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Wiley Plus Stand-Alone to accompany Introductory Statistics Seventh Edition

Mann, Prem S. — 5 Sep 2011 08:17:19 +0200

[Digital/Multimedia]

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Maximum Likelihood Estimation and Inference

Millar, Russell B. — 5 Sep 2011 08:17:13 +0200

Applied Likelihood Methods provides an accessible and practical introduction to likelihood modeling, supported by examples and software. The book features applications from a range of disciplines, including statistics, medicine, biology, and ecology. The methods are implemented in SAS-the most widely used statistical software package-and the data sets and SAS code are provided on a Web site, enabling the reader to use the methods to solve problems in their own work. This book serves as an ideal text for applied scientists and researchers and graduate students of statistics. [374 Seiten, Hardcover]

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Understanding Educational Statistics Using Microsoft Excel and SPSS

Abbott, Martin Lee — 29 Aug 2011 08:17:55 +0200

This class-tested book equips readers with the fundamental statistical practices that are essential for organizing, understanding, and drawing conclusions from educational research data. It is the first to utilize both SPSS and Excel to work all problems, examples, and data. Each data procedure is given its own chapter, which concludes with a lab exercise that poses a research question, examines the question by performing that chapter's statistical topic of focus in Excel and SPSS, and outlines key findings. This text is meant for courses on introductory statistics in the social sciences at the upper-undergraduate level and as a resource for statistical professionals. [552 Seiten, Hardcover]

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Statistical Methods for Quality Improvement

Ryan, Thomas P. — 24 Aug 2011 08:17:23 +0200

Statistical methods for quality improvement offer numerous benefits for industry and business, both through identifying existing trouble spots and alerting management and technical personnel to potential problems. An easy-to-read and easy-to-follow guide based on intuitive reasoning rather than heavy mathematica, this fully expanded and revised third edition of Statistical Methods for Quality Improvement offers upper-level undergraduate and graduate students clear, thorough coverage of all available techniques from basic control charts to regression and design of experiments as well as the combined use of these tools. [704 Seiten, Hardcover]

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Multiple Comparison Procedures

Hochberg, Yosef / Tamhane, Ajit C. — 24 Aug 2011 08:17:21 +0200

Multiple Comparison Procedures offers an up-to-date view of multiple comparison procedures, disproving the belief held by some statisticians that such procedures have no place in data analysis. With equal emphasis on theory and applications, this book covers the multiple comparison techniques advantages and the validity of statistical inferences. With detailed descriptions of the derivation and implementation of procedures, this text examines classical approaches, confidence estimation procedures, as well as benefits and drawbacks of other methods. Including examples and tables, this resource is both practical and informative. [480 Seiten, Softcover]

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Epistemology of the Cell

Dougherty, Edward R. / Bittner, Michael L. — 22 Aug 2011 08:18:35 +0200

An examination of how the cell should be described in order to effectively process biological data The fruitful pursuit of biological knowledge requires one to take Einstein's admonition [on science without epistemology] as a practical demand for scientific research, to recognize Waddington's characterization of the subject matter of biology, and to embrace Wiener's conception of the form of biological knowledge in response to its subject matter. It is from this vantage point that we consider the epistemology of the cell. --from the Preface In the era of high biological data throughput, biomedical engineers need a more systematic knowledge of the cell in order to perform more effective data handling. Epistemology of the Cell is the first authored book to break down this knowledge. This text examines the place of biological knowledge within the framework of science as a whole and addresses issues focused on the specific nature of biology, how biology is studied, and how biological knowledge is translated into applications, in particular with regard to medicine. The book opens with a general discussion of the historical development of human understanding of scientific knowledge, the scientific method, and the manner in which scientific knowledge is represented in mathematics. The narrative then gets specific for biology, focusing on knowledge of the cell, the basic unit of life. The salient point is the analogy between a systems-based analysis of factory regulation and the regulation of the cell. Each chapter represents a key topic of current interest, including: * Causality and randomness * Translational science * Stochastic validation: classification * Stochastic validation: networks * Model-based experimentation in biology Epistemology of the Cell is written for biomedical researchers whose interests include bioinformatics, biological modeling, biostatistics, and biological signal processing. [216 Seiten, Hardcover]

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Mathematical Statistics with Resampling and R

Chihara, Laura M. / Hesterberg, Tim C. — 15 Aug 2011 08:18:21 +0200

This groundbreaking book shows how apply modern resampling techniques to mathematical statistics. The book includes permutation tests and bootstrap methods and classical inference methods. Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. The use of R throughout the book underscores the significance of resampling since its implementation is fast enough to be both convenient and explanatory. While computer clock speeds have leveled off, new multi-core computers are well suited for parallel applications like resampling. The book contains examples, figures, exercise sets, case studies, and helpful remarks. An author-maintained web site is available. [432 Seiten, Hardcover]

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Question Evaluation Methods

Madans, Jennifer / Miller, Kristen / Maitland, Aaron / Willis, Gordon — 15 Aug 2011 08:17:44 +0200

Reliability and validity are the most important quality aspects of survey questions. Featuring contributions from prominent researchers in the field of survey methodology, Question Evaluation Methods supplies various points of views on common question evaluation methods and provides insightful observations on best practices for data collection that can be applied across the health and social sciences. A must-read for government statisticians, survey methodologists, researchers, and practitioners, this unique volume introduces an interdisciplinary, cross-method conversation that is essential for advancing knowledge about data quality and ensuring the quality of Federal statistics. [378 Seiten, Softcover]

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Analyzing Quantitative Data

Wetcher-Hendricks, Debra — 8 Aug 2011 08:17:27 +0200

Both an easy-to-use text and a quick reference guide, Analyzing Quantitative Data: An Introduction for Social Researchers offers a unique approach to quantitative research methods. The non-linear organization of the book allows readers to access and comprehend information relevant to their particular projects or assignments without loss of continuity. Intended as a sequel to texts that emphasize the data collection process, this book's hands-on approach escorts students and practicing statisticians through organization of raw data, descriptive statistics, tests of significance, drawing conclusions, and techniques for writing research reports. [414 Seiten, Hardcover]

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Six Sigma Quality Improvement with Minitab

Henderson, G. Robin — 29 Jul 2011 08:17:40 +0200

A practical resource, this second edition of the book offers a clear understanding of and the implementation of statistical methods fundamental to the Six Sigma approach to the continuous improvement of products, processes and services. It demonstrates key statistical methods in the application of the Six Sigma methodology and their implementation via the widely used statistical software package Minitab. The book includes: Pareto charts and on Cause-and Effect diagrams; Time-weighted control charts - moving, average, CUSUM and EWMA; Multivariate control charts - an introduction; Acceptance sampling by attributes and variables; Tests of association using the chi-square distribution; Logistic regression; and Taguchi experimental designs. [524 Seiten, Hardcover]

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