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概率论与数理统计

概率论与数理统计

出版社:武汉理工大学出版社出版时间:2023-12-01
开本: 大16开 页数: 246
本类榜单:自然科学销量榜
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概率论与数理统计 版权信息

  • ISBN:9787562969044
  • 条形码:9787562969044 ; 978-7-5629-6904-4
  • 装帧:一般胶版纸
  • 册数:暂无
  • 重量:暂无
  • 所属分类:>

概率论与数理统计 内容简介

This book is compiled based on the authors' mang years of experiences in teaching the course of Probability and Mathematical Statistics for students from School of International Education, Wuhan University of Technology. This book covers eleven chapters, i. e. , Introduction, Probability of Events, Random Variables and Distributions, Multivariate Random Variables, Numerical Characteristics of Random Variables, Law of Large Numbers and Central Limit Theorem, Random Samples and Sampling Distributions, Parametric Estimation, Testing Hypotheses, Linear Regression Analysis and Analysis of Variance. Except the first chapter of introduction, each chapter is followed by rich and typical exercises. The book should be most suitable for non-mathematical major undergraduate students who study Probability and Mathematical Statistics as the bilingual course.

概率论与数理统计 目录

0 Introduction 0.1 Introduction to Probability 0.2 Introduction to Statistics 1 Probability of Events 1.1 Experiments and Events 1.2 Set Theory 1.3 Frequency and Probability 1.4 The Classical Probability 1.5 Geometrical Probability 1.6 Conditional Probability 1.7 Independence of Events Exercises 1 2 Random Variables and Distributions 2.1 Random Variables and Distribution Functions 2.2 Discrete Random Variables 2.3 Continuous Random Variables 2.4 Functions of a Random Variable Exercises 2 3 Multivariate Random Variables 3.1 Bivariate Random Variables 3.2 Marginal Distributions 3.3 Conditional Distributions 3.4 Independent Random Variables 3.5 Functions of Two or More Random Variables 3.6 Multivariate Distributions Exercises 3 4 Numerical Characteristics of Random Variables 4.1 Mathematical Expectation 4.2 Variance 4.3 Covariance and Correlation Coefficient 4.4 Moments Exercises 4 5 Law of Large Numbers and Central Limit Theorem 5.1 Law of Large Numbers 5.2 Central Limit Theorem Exercises 5 6 Random Samples and Sampling Distributions 6.1 Random Samples 6.2 Sampling Distributions Exercises 6 7 Parametric Estimation 7.1 Point Estimation 7.2 Evaluation of Estimators 7.3 Interval Estimation 7.4 One-sided Confidence Interval Exercises 7 8 Testing Hypotheses 8.1 Problems of Testing Hypotheses 8.2 Testing Hypotheses about Normal Distribution 8.3 P-value Exercises 8 9 Linear Regression Analysis 9.1 Simple Linear Regression Analysis 9.2 Linearizable Nonlinear Regression 9.3 Multiple Linear Regression Exercise 9 10 Analysis of Variance 10.1 Single-Factor Analysis of Variance 10.2 Variance Analysis of Two-Factor Equal Repeated Experiments 10.3 Variance Analysis of Two-Factor Non-Repeated Experiments Exercises 10 Appendix 1 Table of Binomial Distribution Appendix 2 Table of Poisson Distribution Appendix 3 Table of Standard Normal Distribution Appendix 4 Table of the t Distribution Appendix 5 Table of the x2 Distribution Appendix 6 Table of the F Distribution Appendix 7 One-sided P-values from t Distribution: P(t(n)>t) Appendix 8 Key to Exercises References
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