工程师与科学家统计学(第4版)

工程师与科学家统计学(第4版)
作 者: 威廉 耐威迪
出版社: 哈尔滨工业大学出版社
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作者简介

暂缺《工程师与科学家统计学(第4版)》作者简介

内容简介

William Navidi is Professor of Applied Mathematics and Statistics at the Colorado School of Mines.He received his B.A. degree in mathematics from New College, his M.A. in mathematics from Michigan State University,and his Ph.D. in statistics from the University of California at Berkeley. Professor Navidi has authored more than 70 research papers both in statistical theory and in a wide variety of applications includ-ing computer networks, epidemiology, molecular biology, chemical engineering, and geophysics.

图书目录

Preface

Acknowledgments of Reviewers and Contributors

Key Features

Supplements for Students and Instructors

Chapter 1 Sampling and Descriptive Statistics Introduction

1.1 Sampling

1.2 Summary Statistics

1.3 Graphical Summaries

Chapter 2 Probability

Introduction

2.1 Basicldeas

2.2 Counting Methods

2.3 Conditional Probability and Independence

2.4 Random Variables

2.5 Linear Functions of Random Variables

2.6 Jointly Distributed Random Variables

Chapter 3 Propagation of Error Introduction

3.1 Measurement Error

3.2 Linear Combinations of Measurements

3.3 Uncertainties for Functions of One Measurement

3.4 Uncertainties for Functions of Several Measurements

Chapter 4 Commonly Used Distributions

Introduction

4.1 The Bernoulli Distribution

4,2 The Binomial Distribution

4,3 The Poisson Distribution

4.4 Some Other Discrete Distributions

4.5 The Normal Distribution

4.6 The Lognormal Distribution

4.7 The Exponential Distribution

4.8 Some Other Continuous Distributions

4.9 Some Principles of Point Estimation

4.10 Probability Plots

4.11 The Central Limit Theorem

4.12 Simulation

Chapter 5 Confidencelntervals Introduction

5.1 Large-Sample Confidence Intervals

for a Population Mean

5.2 Confidence Intervals for Proportions

5.3 Small-Sample Confidence Intervals for a Population Mean

……

Chapter 6 Hypothesis Testing

Chapter 7 Correlation and Simple Linear Regression

Chapter 8 Multiple Regression

Chapter 9 Factorial Experiments

Chapter 10 Statistical Quality Control

Appendix A:Tables 804.

Appendix B: PartiaI Derivatives

Appendix C: Bibliography

Answers to Odd-Numbered Exercises

Index

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