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

Ed. by Balakrishnan, N.

• Gebundenes Buch

Produktbeschreibung

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.

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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.

Produktdetails

• Verlag: Wiley & Sons
• Artikelnr. des Verlages: 14540510000
• 1. Auflage
• Seitenzahl: 736
• Erscheinungstermin: 13. Juli 2010
• Englisch
• Abmessung: 257mm x 188mm x 38mm
• Gewicht: 1396g
• ISBN-13: 9780470405109
• ISBN-10: 0470405104
• Artikelnr.: 29338767

Autorenporträt

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.

Inhaltsangabe

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 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.