Methods and Applications of Statistics in Business, Finance, and Management Science
Methods and Applications of Statistics
1. Edition July 2010
736 Pages, Hardcover
Wiley & Sons Ltd
Short Description
Methods and Applications of Statistics in Business, Finance, and Management Science presents a concise, well-rounded focus on the statistical concepts and applications that are essential for understanding gathered data in these areas. Inspired by the Encyclopedia of Statistical Sciences, Second Edition, this succinct reference features both established ESS2e articles and newly-acquired contributions from over 100 leading experts in academia and industry. Students, academics, and researchers in the fields of business, finance, economics, management science, and the related client disciplines will not want to be without this accessible resource.
Inspired by the Encyclopedia of Statistical Sciences, Second Edition, this volume presents the tools and techniques that are essential for carrying out best practices in the modern business world
The collection and analysis of quantitative data drives some of the most important conclusions that are drawn in today's business world, such as the preferences of a customer base, the quality of manufactured products, the marketing of products, and the availability of financial resources. As a result, it is essential for individuals working in this environment to have the knowledge and skills to interpret and use statistical techniques in various scenarios. Addressing this need, Methods and Applications of Statistics in Business, Finance, and Management Science serves as a single, one-of-a-kind resource that guides readers through the use of common statistical practices by presenting real-world applications from the fields of business, economics, finance, operations research, and management science.
Uniting established literature with the latest research, this volume features classic articles from the acclaimed Encyclopedia of Statistical Sciences, Second Edition along with brand-new contributions written by today's leading academics and practitioners. The result is a compilation that explores classic methodology and new topics, including:
* Analytical methods for risk management
* Statistical modeling for online auctions
* Ranking and selection in mutual funds
* Uses of Black-Scholes formula in finance
* Data mining in prediction markets
From auditing and marketing to stock market price indices and banking, the presented literature sheds light on the use of quantitative methods in research relating to common financial applications. In addition, the book supplies insight on common uses of statistical techniques such as Bayesian methods, optimization, simulation, forecasting, mathematical modeling, financial time series, and data mining in modern research.
Providing a blend of traditional methodology and the latest research, Methods and Applications of Statistics in Business, Finance, and Management Science is an excellent reference for researchers, managers, consultants, and students in the fields of business, management science, operations research, supply chain management, mathematical finance, and economics who must understand statistical literature and carry out quantitative practices to make smart business decisions in their everyday work.
Contributors.
1 Alternatives to Black-Scholes Formulation in Finance.
2 Analytical Methods of Risk Management: An Engineering Systems Perspective.
3 ARCH and GARCH Models.
4 Bayesian Forecasting.
5 Bayesian Networks.
6 Box-Jenkins Model.
7 Business Forecasting Methods.
8 Combination of Forecasts.
9 Decision Theory.
10 Dynamic Programming.
11 Estimation of Travel Distance.
12 Financial Time Series.
13 Forecasting.
14 Foundations of Risk Measurement.
15 Functional Networks.
16 Game Theory.
17 Intervention Model Analysis.
18 Inventory Theory.
19 Manpower Planning.
20 Markov Networks.
21 Methods of Estimation of Risks and Analysis of Business Processes.
22 Mining Functional Data in Prediction Markets.
23 Models for Bid Arrivals and Bidder Arrivals in Online Auctions.
24 Multiserver Queues.
25 Multivariate Time-Series Analysis.
26 Network Analysis.
27 Network of Queues.
28 Neural Networks.
29 Newsboy Inventory Problem.
30 Nonlinear Time Series.
31 Nonstationary Time Series.
32 PERT.
33 Prediction and Forecasting.
34 Pricing Foreign Exchange Options with Stochastic Volatility.
35 Probabilistic Expert Systems.
36 Problem Solving in Statistics.
37 Queueing Theory.
38 Queues and Networks.
39 Ranking and Selection Among Mutual Funds.
40 Risk Theory.
41 Statistical Consulting.
42 Statistical Methods in Inventory Effect and Analysis.
43 Statistical Methods in Risk Management by Futures Clearinghouses.
44 Statistics in Auditing.
45 Statistics in Banking.
46 Statistics in Finance.
47 Statistics in Management Science.
48 Statistics in Marketing.
49 Statistics of Risk Management.
50 Stochastic Differential Equations: Applications in Economics and Management Science.
51 Stochastic Games.
52 Stock Market Price Indexes.
53 The Black-Scholes Formula and Its Applications in Finance.
54 Time Series.
Index.
