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統(tǒng)計(jì)推斷(英文版·原書第2版)簡(jiǎn)介,目錄書摘

2020-03-10 14:12 來(lái)源:京東 作者:京東
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統(tǒng)計(jì)推斷(英文版·原書第2版)
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本書并不假定在任何概率論的先修知識(shí)。通過(guò)正文與習(xí)題旁征博引,引進(jìn)了大量近代統(tǒng)計(jì)處理的新技術(shù)和一些國(guó)內(nèi)同類教材中不能見(jiàn)而廣為使用的分布。其內(nèi)容包括工科概率論入門又包括了經(jīng)典統(tǒng)計(jì)和現(xiàn)代統(tǒng)計(jì)的基礎(chǔ)部分。其理論較為現(xiàn)代化、難度適中,覆蓋面遠(yuǎn)比國(guó)內(nèi)教材大,而在體系結(jié)構(gòu)與內(nèi)容安排上富于新意。本書可以作為工科、管理類學(xué)科專業(yè)本科生、研究生教材,也可供教師、工程技術(shù)人員自學(xué)之用。

目錄:1  PROBABILITY THEORY
1.1  Set Theory
1.2  Basics of Probability Theory
1.3  Conditional Probability and Independence
1.4  Random Variables
1.5  Distribution Functions
1.6  Density and Mass Functions
1.7  Exercises
1.8  Miscellanea
2  TRANSFORMATIONS AND EXPECTATIONS
2.1  Distributions of Functions of a Random Variable
2.2  Expected Values
2.3  Moments and Moment Generating Functions
2.4  Differentiating Under an Integral Sign
2.5  Exercises
2.6  Miscellanea
3  COMMON FAMILIES OF DISTRIBUTIONS
3.1  Introduction
3.2  Discrete Distributions
3.3  Continuous Distributions
3.4  Exponential Families
3.5  Location and Scale Families
3.6  Inequalities and Identities
3.7  Exercises
3.8  Miscellanea
4  MULTIPLE RANDOM VARIABLES
4.1  Joint and Marginal Distributions
4.2  Conditional Distributions and Independence
4.3  Bivariate Transformations
4.4  Hierarchical Models and Mixture Distributions
4.5  Covariance and Correlation
4.6  Multivariate Distributions
4.7  Inequalities
4.8  Exercises
4.9  Miscellanea
5  PROPERTIES OF A RANDOM SAMPLE
5.1  Basic Concepts of Random Samples
5.2  Sums of Random Variables from a Random Sample
5.3  Sampling from the Normal Distribution
5.4  Order Statistics
5.5  Convergence Concepts
5.6  Generating a Random Sample
5.7  Exercises
5.8  Miscellanea
6  PRINCIPLES OF DATA REDUCTION
6.1  Introduction
6.2  The Sufficiency Principle
6.3  The Likelihood Principle
6.4  The Equivariance Principle
6.5  Exercises
6.6  Miscellanea
7  Point Estimation
7.1  Introduction
7.2  Methods of Finding Estimators
7.3  Methods of Evaluating Estimators
7.4  Exercises
7.5  Miscellanea
8  HYPOTHESIS TESTING
8.1  Introduction
8.2  Methods of Finding Tests
8.3  Methods of Evaluating Tests
8.4  Exercises
8.5  Miscellanca
9  INTERVAL ESTIMATION
9.1  Introduction
9.2  Methods of Finding Interval Estimators
9.3  Methods of Evaluating Interval Estimators
9.4  Exercises
9.5  Miscellanea
10  ASYMPTOTIC EVALUATIONS
10.1  Point Estimation
10.2  Robustness
10.3  Hypothesis Testing
10.4  Interval Estimation
10.5  Exercises
106  Miscellanea
11  ANALYSIS OF VARIANCE AND REGRESSION
11.1  Introduction
11.2  Oneway Analysis of Variance
11.3  Simple Linear Regression
11.4  Exercises
11.5  Miscellanea
12  Regression Models
12.1  Introduction
12.2  Regression with Errors in Variables
12.3  Logistic Regression
12.4  Robust Regression
12.5  Exercises
12.6  Miscellanea
......
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