《華章統計學原版精品系列:機率與統計(英文版)》是數理統計學的優秀入門教材，深入淺出地介紹了統計理論與方法，通過大量的實際數據例子強調機率模型和統計方法的套用，使讀者更能洞悉和體會統計思維與統計方法的本質。《華章統計學原版精品系列:機率與統計(英文版)》主要內容包括：統計與機率導論，隨機變數、分布和數學期望，機率分布，抽樣分布和數據描述，單樣本和兩樣本的估計問題，單樣本和兩樣本的假設檢驗，線性回歸，析因試驗等。
基本介紹
- 中文名：華章統計學原版精品系列:機率與統計
- 外文名：Essentials of Probability & Statistics for Engineers & Scientists
- 作者：沃波爾 (Ronald E.Walpole)
- 出版日期：2013年6月1日
- 語種：簡體中文, 英語
- ISBN：9787111425069
- 品牌：機械工業出版社
- 出版社：機械工業出版社
- 頁數：467頁
- 開本：16
- 定價：69.00
基本介紹,內容簡介,作者簡介,圖書目錄,
基本介紹
內容簡介
《華章統計學原版精品系列:機率與統計(英文版)》中的統計方法大多是現代統計學的常用統計理論與方法，在介紹每一種統計方法前都詳細敘述統計方法的思想。把抽象的統計理論與方法進行直觀描述與總結，不偏重理論的推導，而是注重具體套用。書中含有大量的例子和習題，通過真實、科學的模型方案和數據使讀者掌握統計方法。這些例子和習題不局限於工程領域，還包括一些社會學、經濟學、生物學、物理學和計算機科學領域的套用。
作者簡介
作者：（美國）沃波爾（Ronald E.Walpole） （美國）Raymond H.Myers （美國）Sharon L.Myers （美國）Keying Ye
圖書目錄
Preface
1 Introduction to Statistics and Probability
1.1 Overview: Statistical Inference, Samples, Populations, and the Role of Probability
1.2 Sampling Procedures; Collection of Data
1.3 Discrete and Continuous Data
1.4 Probability: Sample Space and Events
Exercises
1.5 Counting Sample Points
Exercises
1.6 Probability of an Event
1.7 Additive Rules
Exercises
1.8 Conditional Probability, Independence, and the Product Rule
Exercises
1.9 Bayes' Rule
Exercises
Review Exercises
2 Random Variables, Distributions,
and Expectations
2.1 Concept of a Random Variable
2.2 Discrete Probability Distributions
2.3 Continuous Probability Distributions
Exercises
2.4 Joint Probability Distributions
Exercises
2.5 Mean of a Random Variable
Exercises
2.6 Variance and Covariance of Random Variables
Exercises
2.7 Means and Variances of Linear Combinations of Random Variables
Exercises
Review Exercises
2.8 Potential Misconceptions and Hazards;
Relationship to Material in Other Chapters
3 Some Probability Distributions
3.1 Introduction and Motivation
3.2 Binolnial and Multinomial Distributions
Exercises
3.3 Hypergeometric Distribution
Exercises
3.4 Negative Binomial and Geometric Distributions
3.5 Poisson Distribution and the Poisson Process
Exercises
3.6 Continuous Uniform Distribution
3.7 Normal Distribution
3.8 Areas under the Normal Curve
3.9 Applications of the Normal Distribution
Exercises
3.10 Normal Approximation to the Binomial
Exercises
3.11 Gamma and Exponential Distributions
3.12 Chi-Squared Distribution
Exercises
Review Exercises
3.13 Potential Misconceptions and Hazards; Relationship to Material in Other Chapters
4 Sampling Distributions and Data Descriptions
4.1 Random Sampling
4.2 Some Important Statistics
Exercises
4.3 Sampling Distributions
4.4 Sampling Distribution of Means and the Central Limit Theorem.
Exercises
4.5 Sampling Distribution of S2
……
5 One- and Two-Sample Estimation Problems
6 One- and Two-Sample Tests of Hypotheses
7 Linear Regression
8 One-Factor Experiments: General
9 Factorial Experiments (Two or More Factors)
Bibliography
Appendix A: Statistical Tables and Proofs
Appendix B: Answers to Odd-Numbered Non-Review Exercises
Index
1 Introduction to Statistics and Probability
1.1 Overview: Statistical Inference, Samples, Populations, and the Role of Probability
1.2 Sampling Procedures; Collection of Data
1.3 Discrete and Continuous Data
1.4 Probability: Sample Space and Events
Exercises
1.5 Counting Sample Points
Exercises
1.6 Probability of an Event
1.7 Additive Rules
Exercises
1.8 Conditional Probability, Independence, and the Product Rule
Exercises
1.9 Bayes' Rule
Exercises
Review Exercises
2 Random Variables, Distributions,
and Expectations
2.1 Concept of a Random Variable
2.2 Discrete Probability Distributions
2.3 Continuous Probability Distributions
Exercises
2.4 Joint Probability Distributions
Exercises
2.5 Mean of a Random Variable
Exercises
2.6 Variance and Covariance of Random Variables
Exercises
2.7 Means and Variances of Linear Combinations of Random Variables
Exercises
Review Exercises
2.8 Potential Misconceptions and Hazards;
Relationship to Material in Other Chapters
3 Some Probability Distributions
3.1 Introduction and Motivation
3.2 Binolnial and Multinomial Distributions
Exercises
3.3 Hypergeometric Distribution
Exercises
3.4 Negative Binomial and Geometric Distributions
3.5 Poisson Distribution and the Poisson Process
Exercises
3.6 Continuous Uniform Distribution
3.7 Normal Distribution
3.8 Areas under the Normal Curve
3.9 Applications of the Normal Distribution
Exercises
3.10 Normal Approximation to the Binomial
Exercises
3.11 Gamma and Exponential Distributions
3.12 Chi-Squared Distribution
Exercises
Review Exercises
3.13 Potential Misconceptions and Hazards; Relationship to Material in Other Chapters
4 Sampling Distributions and Data Descriptions
4.1 Random Sampling
4.2 Some Important Statistics
Exercises
4.3 Sampling Distributions
4.4 Sampling Distribution of Means and the Central Limit Theorem.
Exercises
4.5 Sampling Distribution of S2
……
5 One- and Two-Sample Estimation Problems
6 One- and Two-Sample Tests of Hypotheses
7 Linear Regression
8 One-Factor Experiments: General
9 Factorial Experiments (Two or More Factors)
Bibliography
Appendix A: Statistical Tables and Proofs
Appendix B: Answers to Odd-Numbered Non-Review Exercises
Index
