Bibliographic Information

Statistics, data analysis, and decision modeling

James R. Evans

Pearson, c2013

5th ed

  • : pbk

Available at  / 1 libraries

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Includes index

Description and Table of Contents

Description

A pragmatic approach to statistics, data analysis and decision modeling. Statistics, Data Analysis & Decision Modeling focuses on the practical understanding of its topics, allowing readers to develop conceptual insight on fundamental techniques and theories. Evans' dedication to present material in a simple and straightforward fashion is ideal for comprehension.

Table of Contents

Brief Contents PART I: STATISTICS AND DATA ANALYSIS Chapter 1 Data and Business Decisions Chapter 2 Displaying and Summarizing Data Chapter 3 Probability Distributions and Applications Chapter 4 Sampling and Estimation Chapter 5 Hypothesis Testing and Statistical Inference Chapter 6 Regression Analysis Chapter 7 Forecasting Chapter 8 Statistical Quality Control PART II: DECISION MODELING AND ANALYSIS Chapter 9 Building and Using Decision Models Chapter 10 Risk Analysis and Monte Carlo Simulation Chapter 11 Decisions, Uncertainty, and Risk Chapter 12 Queues and Process Simulation Modeling Chapter 13 Linear Optimization Chapter 14 Integer and Nonlinear Optimization Appendix

by "Nielsen BookData"

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