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Methods and Applications of Statistics in Business, Finance, and Management Science
N. . Ed(S): Balakrishnan
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Description for Methods and Applications of Statistics in Business, Finance, and Management Science
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. Editor(s): Balakrishnan, N. Series: Methods and Applications of Statistics. Num Pages: 736 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 257 x 186 x 48. Weight in Grams: 1382.
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 ... Read morescenarios. 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:
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Analytical methods for risk management
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Statistical modeling for online auctions
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Ranking and selection in mutual funds
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Uses of Black-Scholes formula in finance
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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.
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Product Details
Publisher
John Wiley and Sons Ltd United States
Series
Methods and Applications of Statistics
Place of Publication
New York, United States
Shipping Time
Usually ships in 15 to 20 working days
About N. . Ed(S): Balakrishnan
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 ... Read moreand Applications and A Primer on Statistical Distributions, both published by Wiley. Show Less
Reviews for Methods and Applications of Statistics in Business, Finance, and Management Science
"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 ... Read morework." (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 carry out quantitative practices to make smart business decisions in their everyday work." (Green.TMCnet.com, 28 October 2010) Show Less
