Statistics, Data Analysis and Decision Modeling

ISBN-10: 0136066003
ISBN-13: 9780136066002
Edition: 4th 2010
Authors: James R. Evans
List price: $227.60
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Description: A pragmatic approach to statistics, data analysis and decision modeling. MARKET:Statistics, Data Analysis & Decision Modelingfocuses on the practical understanding of its topics that allows readers to develop conceptual insight on fundamental  More...

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Book details

List price: $227.60
Edition: 4th
Copyright year: 2010
Publisher: Prentice Hall PTR
Publication date: 3/26/2009
Binding: Paperback
Pages: 592
Size: 7.75" wide x 9.75" long x 0.75" tall
Weight: 2.288
Language: English

A pragmatic approach to statistics, data analysis and decision modeling. MARKET:Statistics, Data Analysis & Decision Modelingfocuses on the practical understanding of its topics that allows readers to develop conceptual insight on fundamental techniques and theories.

James R. Evans is professor in the Department of Operations, Business Analytics, and Information Systems in the Lindner College of Business at the University of Cincinnati. His service includes president of the Decision Sciences Institute 1997-1998 and 11 years on the Board of Examiners and Panel of Judges for the Malcolm Baldrige National Quality Award. He has been Editor of the Quality Management Journal, published by the American Society for Quality, and served on editorial boards of numerous other journals. Dr. Evans has published more than 90 refereed papers and more than 30 editions of books. During the annual Quality Congress in May 2004, The American Society for Quality presented Dr. Evans and co-author Bill Lindsay with the Philip B. Crosby Medal for writing THE MANAGEMENT AND CONTROL OF QUALITY, 6E. The Crosby medal was presented "for authoring a distinguished book contributing significantly to the extension of the philosophy and application of the principles, methods, and techniques of quality management."

Data and Business Decisions
Displaying and Summarizing Data
Probability Distributions
Sampling and Estimation
Hypothesis Testing and Statistical Inference
Regression Analysis
Forecasting
Statistical Quality Control
Building and Using Spreadsheet Decision Models
Risk Analysis and Monte Carlo Simulation
Making decisions under risk and uncertainty
Queues and Process Simulation Modeling
Linear Optimization
Integer and Nonlinear Optimization

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