高等学校教材·概率论与数理统计 pdf epub mobi txt 电子书 下载 2025

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《高等学校教材•概率论与数理统计(英文版)》介绍了随机事件及其概率、随机变量与概率分布、连续型随机变量、多维随机变量和中心极限定理、统计描述、参数估计、假设检验、非参数统计、回归分析以及方差分析。

1 Introduction2 Probability 2.1 Sample Space 2.2 Events 2.3 Probability of Events 2.4 Laws of Probability 2.5 Conditional Probability 2.6 Bayes' Rule Exercises 23 Random Variables 3.1 Definition of Random Variables 3.2 Discrete Random Variables 3.3 Expectation and Variance 3.4 Binomial Distribution 3.5 Poisson Distribution Exercises 34 Continuous Random Variables 4.1 Continuous Random Variables 4.2 Uniform Distribution 4.3 Normal Distribution 4.4 Normal Approximation to the Binomial Distribution 4.5 Exponential Distribution 4.6 Function of Random Variables 4.7 Chebyshev's Theorem Exercises 45 Random Vectors and Joint Probability Distributions 5.1 Concept of Joint Probability Distributions 5.2 Conditional Distribution 5.3 Statistical Independent 5.4 Covariance and Correlation 5.5 Law of Large Numbers and Central Limit Theorem Exercises 56 Fundamental Sampling Distributions and Data Descriptions 6.1 Analysis of Data 6.2 Random Sampling 6.3 Statistics 6.4 Sample Distributions 6.5 Chi-square Distribution 6.6 Student's Distribution (t-Distribution) 6.7 F-Distribution Exercises 67 Estimation Problems 7.1 Point Estimation 7.2 Interval Estimation 7.3 Determination of the Sample Size 7.4 Maximum Likelihood Estimation Exercises 78 Testing Hypothesis 8.1 Statistical Hypothesis:General Concepts 8.2 Testing a Statistical Hypothesis 8.3 Hypothesis Concerning Mean 8.4 Hypothesis Concerning Variance 8.5 Relationship to Confidence Interval Estimation 8.6 Tests for Proportion 8.7 Tests for Independence 8.8 Goodness-of-Fit Test Exercises 89 Nonparametric Statistics 9.1 Sign Test 9.2 Rank-Sum Test 9.3 Signed-Rank Test Exercises 910 Regression and Correlation 10.1 Introduction 10.2 Simple Linear Regression Equation 10.3 Parameter Estimation 10.4 Tests the Usefulness of the Linear Regression Model 10.5 Predictions 10.6 Multiple Linear Regression 10.7 Linearizable Models 10.8 Normal Correlation Model Exercises 1011 Analysis of Variance 11.1 Introduction 11.2 One-Way Analysis of Variance 11.3 Two-Way Analysis of Variance Exercises 11Answer to ExercisesReview ExercisesAppendixReferences
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