属性数据分析培训

一 Chapter 1 Introduction

1.1 Preface to Categorical Data Analysis

1.2 Probability Distributions for Categorical Data + 1.3 Statistical Inference for A Proportion

一章相关程序

homework 1

二 Chapter 2 Contingency Tables（1）

2.1 Probability Structure for Contingency Tables

2.2 Comparing Proportions in Two-by-Two Tables

2.3 The Odds Ratio

2.4 Chi-Square Test of Independence

三 Chapter 2 Contingency Tables（2）+ 程序课

2.5 Testing Independence for Ordinal Data

2.6 Exact Inference for Small Samples

2.7 Association in Three-Way Tables

一章二章程序课

二章相关程序

homework 2

四 Chapter 3 Generalized Linear Model（1）

3.1 Components of A Generalized Linear Model

3.2 Generalized Linear Models for Binary Data

五 Chapter 3 Generalized Linear Model（2）

3.3 Generalized Linear Models for Count Data

3.4 Statistical Inference and Model Checking

三章相关程序

homework 3

七 Chapter4 Logistic Regression（1）

4.1 Interpreting the Logistic Regression Model

4.2 Inference for Logistic Regression

课程论文写作要求及参考案例

课程论文写作要求及评分细则

八 Chapter4 Logistic Regression（2）

4.3 Logistic Regression with Categorical Predictors

4.4 Multiple Logistic Regression

四章相关程序

homework4

九 Chapter5 Building and Applying Logistic Regression Models

homework5

5.1 Strategies in Model Selection

5.2 Model Checking

5.3 Effects of Sparse Data

五章相关程序

十 Chapter6 Multicategory Logit Models（1）

6.1 Logit Model for Nominal Responses

6.2 Cumulative Logit Models for Ordinal Responses

6.3 Paired-Category Ordinal Logits

十一 Chapter6 Multicategory Logit Models（2）+程序课

6.4 Test of Conditional Independence

三、四、五、六章程序演示