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概率论与数理统计(第5版)(影印版)


作者:
Jay L. Devore
定价:
94.00元
ISBN:
978-7-04-015560-0
版面字数:
700.000千字
开本:
16开
全书页数:
775页
装帧形式:
平装
重点项目:
暂无
出版时间:
2004-11-09
读者对象:
高等教育
一级分类:
数学与统计学类
二级分类:
理工类专业数学基础课
三级分类:
概率论与数理统计

暂无
  • 1 Overview and Descriptive Statistics
    • Introduction
    • 1.1 Populations,Samples,and Processes
    • 1.2 Pictorial and Tabular Methods in Descriptive Statistics
    • 1.3 Measures of Location
    • 1.4 Measures of Variability
    • Supplementary Exercises
    • Bibliography
  • 2 Probability
    • Introduction
    • 2.1 Sample Spaces and Events
    • 2.2 Axioms,Interpretations,and Properties of Probability
    • 2.3 Counting Techniques
    • 2.4 Conditional Probability
    • 2.5 Independence
    • Supplementary Exercises
    • Bibliography
  • 3 Discrete Random Variables and Probability Distributions
    • Introduction
    • 3.1 Random Variables
    • 3.2 Probability Distributions for Discrete Random Variables
    • 3.3 Expected Values of Discrete Random Variables
    • 3.4 The Binomial Probability Distribution
    • 3.5 Hypergeometric and Negative Binomial Distributions
    • 3.6 The Poisson Probability Distribution
    • Supplementary Exercises
    • Bibliography
  • 4 Continuous Random Variables and Probability Distributions
    • Introduction
    • 4.1 Continuous Random Variables and Probability Density Functions
    • 4.2 Cumulative Distribution Functions and Expected Values
    • 4.3 The Normal Distribution
    • 4.4 The Gamma Distribution and Its Relatives
    • 4.5 Other Continuous Distributions
    • 4.6 Probability Plots
    • Supplementary Exercises
    • Bibliography
  • 5 Joint Probability Distributions and Random Samples
    • introduction
    • 5.1 Jointly Distributed Random Variables
    • 5.2 Expected Values,Covariance,and Correlation
    • 5.3 Statistics and Their Distributions
    • 5.4 The Distribution of the Sample Mean
    • 5.5 The Distribution of a Linear Combination
    • Supplementary Exercises
    • Bibliography
  • 6 Point Estimation
    • Introduction
    • 6.1 Some General Concepts of Point Estimation
    • 6.2 Methods of Point Estimation
    • Supplementary Exercises
    • Bibliography
  • 7 Statistical Intervals Based on a Single Sample Introduction
    • 7.1 Basic Properties of Confidence Intervals
    • 7.2 Large-Sample Confidence Intervals for a Population Mean and Proportion
    • 7.3 Intervals Based on a Normal Population Distribution
    • 7.4 Confidence Intervals for the Variance and Standard Deviation of a Normal Population
    • Supplementary Exercises
    • Bibliography
  • 8 Tests of Hypotheses Based on a Single Sample
    • Introduction
    • 8.1 Hypotheses and Test Procedures
    • 8.2 Tests About a Population Mean
    • 8.3 Tests Concerning a Population Proportion
    • 8.4 P-Values
    • 8.5 Some Comments on Selecting a Test Procedure
    • Supplementary Exercises
    • Bibliography
  • 9 Inferences Based on Two Samples
    • Introduction
    • 9.1 z Tests and Confidence Intervals for a Difference Between Two Population Means
    • 9.2 The Two-Sample t Test and Confidence Interval
    • 9.3 Analysis of Paired Data
    • 9.4 Inferences Concerning a Difference Between Population Proportions
    • 9.5 Inferences Concerning Two Population Variances
    • Supplementary Exercises
    • Bibliography
  • 10 The Analysis of Variance
    • Introduction
    • 10.1 Single-Factor ANOVA
    • 10.2 Multiple Comparisons in ANOVA
    • 10.3 More on Single-Factor ANOVA
    • Supplementary Exercises
    • Bibliography
  • 11 Multifactor Analysis of Variance
    • Introduction
    • 11.1 Two-Factor ANOVA with Kij=1
    • 11.2 Two-Factor ANOVA with Kij>1
    • 11.3 Three-Factor ANOVA
    • 11.4 2p Factorial Experiments
    • Supplementary Exercises
    • Bibliography
  • 12 Simple Linear Regression and Correlation
    • Introduction
    • 12.1 The Simple Linear Regression Model
    • 12.2 Estimating Model Parameters
    • 12.3 Inferences About the Slope Parameter β1
    • 12.4 Inferences Concerning μy.x* and the Prediction of Future Y Values
    • 12.5 Correlation
    • Supplementary Exercises
    • Bibliography
  • 13 Nonlinear and Multiple Regression
    • Introduction
    • 13.1 Aptness of the Model and Model Checking
    • 13.2 Regression with Transformed Variables
    • 13.3 Polynomial Regression
    • 13.4 Multiple Regression Analysis
    • 13.5 Other Issues in Multiple Regression
    • Supplementary Exercises
    • Bibliography
  • 14 The Analysis of Categorical Data
    • Introduction
    • 14.1 Goodness-of-Fit Tests When Category Probabilities Are Completely Specified
    • 14.2 Goodness of Fit for Composite Hypotheses
    • 14.3 Two-Way Contingency Tables
    • Supplementary Exercises
    • Bibliography
  • 15 Distribution-Free Procedures
    • Introduction
    • 15.1 The Wilcoxon Signed-Rank Test
    • 15.2 The Wilcoxon Rank-Sum Test
    • 15.3 Distribution-Free Confidence Intervals
    • 15.4 Distribution-Free ANOVA
    • Supplementary Exercises
    • Bibliography
  • 16 Quality Control Methods
    • Introduction
    • 16.1 General Comments on Control Charts
    • 16.2 Control Charts for Process location
    • 16.3 Control Charts for Process Variation
    • 16.4 Control Charts for Attributes
    • 16.5 CUSUM Procedures
    • 16.6 Acceptance Sampling
    • Supplementary Exercises
    • Bibliography
  • Appendix Tables
    • A.1 Cumulative Binomial Probabilities
    • A.2 Cumulative Poisson Probabilities
    • A.3 Standard Normal Curve Areas
    • A.4 The Incomplete Gamma Function

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