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  • ISBN:9787560380872
  • 装帧:平装-胶订
  • 册数:暂无
  • 重量:暂无
  • 开本:23cm
  • 页数:14,914页
  • 出版时间:2019-06-01
  • 条形码:9787560380872 ; 978-7-5603-8087-2

本书特色

  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.

内容简介

本书的主要你内容是概率论与数理统计。本书作者的观点是,工程和科学专业的入门统计学教材应该在一定程度上提供所有与这些主题相关的内容,此外,该教材应该足够灵活,允许对覆盖范围做出各种选择,也正是因为这个原因使得设计一门成功的入门统计学课程的方法有很多种,*后,该教材应该提供在现实环境中呈现重要思想的例子,由此,本书具有以下特点 1.在概率的表达上是灵活的,使教师在选择话题的深度和广度上有很大的自由。 2.包含了许多以真实的、当代的数据集为特色的例子,既能激励学生,又能展示它们与工业和科学研究的联系。 3.包含了许多计算机输出的例子和适合用计算机软件解决的练习题。 4.对误差传播作了广泛的论述。 5.对模拟方法和引导程序进行了深入介绍,包括验证正态性假设、计算概率、估计偏差、计算置信区间和测试假设的应用程序。 6.与大多数介绍性文章相比,本书提供了更广泛的线性模型诊断程序,这包括检查残差图变量变换和多变量模型中变量选择的原则。 7.涵盖了标准的介绍性主题,包括描述性统计、概率、置信区间、假设检验、线性回归、阶乘验和统计质量控制。

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
编辑手记
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