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Mathematical Statistics and Data Analysis (with CD Data Sets)

By John A. Rice

3rd Edition © 2007
Discipline:Statistics
Course:Intermediate/Advanced Statistics
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This is the first text in a generation to re-examine the purpose of the mathematical statistics course. The book's approach interweaves traditional topics with data analysis and reflects the use of the computer with close ties to the practice of statistics. The author stresses analysis of data, examines real problems with real data, and motivates the theory. The book's descriptive statistics, graphical displays, and realistic applications stand in strong contrast to traditional texts that are set in abstract settings.

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About this product

This is the first text in a generation to re-examine the purpose of the mathematical statistics course. The book's approach interweaves traditional topics with data analysis and reflects the use of the computer with close ties to the practice of statistics. The author stresses analysis of data, examines real problems with real data, and motivates the theory. The book's descriptive statistics, graphical displays, and realistic applications stand in strong contrast to traditional texts that are set in abstract settings.

Introduction to the bootstrap method as a simple yet powerful tool that is integrated with general inferential procedures (Monte Carlo methods are also introduced.)

Many exercises that enrich the book. (Some are relatively simple and reinforce calculations. Others concern bootstrap and Monte Carlo methods and theoretical material on survey sampling. Many incorporate use of the computer.)

Table of contents

Chapters

Contents
Preface
CHAPTER 1: Probability*Preview this chapter
CHAPTER 2: Random Variables
CHAPTER 3: Joint Distributions
CHAPTER 4: Expected Values
CHAPTER 5: Limit Theorems
CHAPTER 6: Distributions Derived from the Normal Distribution
CHAPTER 7: Survey Sampling
CHAPTER 8: Estimation of Parameters and Fitting of Probability Distributions
CHAPTER 9: Testing Hypotheses and Assessing Goodness of Fit
CHAPTER 10: Summarizing Data
CHAPTER 11: Comparing Two Samples
CHAPTER 12: The Analysis of Variance
CHAPTER 13: The Analysis of Categorical Data
CHAPTER 14: Linear Least Squares
APPENDIX A: Common Distributions
APPENDIX B: Tables
Bibliography
Answers to Selected Problems
Author Index
Applications Index
Subject Index
Credits
Show more

CHAPTER 1: ProbabilityPreview this chapter ↗

1.1: Introduction ↗
1.2: Sample Spaces ↗
1.3: Probability Measures ↗
1.4: Computing Probabilities: Counting Methods ↗
1.5: Conditional Probability ↗
1.6: Independence ↗
1.7: Concluding Remarks ↗
1.8: Problems ↗

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