Methods and Applications of Statistics in Business, Finance, and Management Science

Preface.
 
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

N. Balakrishnan, PhD, is Professor in the Department of Mathematics and Statistics at McMaster University, Canada. Dr. Balakrishnan is coeditor of Wiley's Encyclopedia of Statistical Sciences, Second Edition and also serves as Editor in Chief of Communications in Statistics. A Fellow of the American Statistical Association and the Institute of Mathematical Statistics, Dr. Balakrishnan is the coauthor of Precedence-Type Tests and Applications and A Primer on Statistical Distributions, both published by Wiley.

"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." (Yahoo Finance Canada, 28 October 2010) "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." (Forbes.com, 28 October 2010) "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." (Green.TMCnet.com, 28 October 2010)

"Providing a blend of traditional methodology and the latest research, the book may well be used as a reference guide for researchers, managers, consultants and students in the fields of business, management science, operations research, supply chain management, mathematical finance and economics, who must under-stand the statistical literature and carry out quantitative practices to make smart businessdecisions in their everyday work." (Zentralblatt MATH, 2011)
"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." (Yahoo Finance Canada, 28 October 2010)

"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." (Forbes.com, 28 October 2010)

"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