本人在考CAS（北美财产险精算），由于出身学校不咋地，有一门VEE认证课程得在NEAS上考，需要用这个教材：
John Fox, Applied Regression Analysis and Generalized Linear Models (Sage Publications, 2008）
之前看到有人悬赏过，但对比亚马逊上面的目录，感觉不太对，在此重新悬赏，并附上目录，若有领赏者，不胜感谢！


Preface
1 - Statistical Models and Social Science I - DATA CRAFT
2 - What is Regression Analysis?
3 - Examining Data
4 - Transforming Data II - LINEAR MODELS AND LEAST SQUARES
5 - Linear Least-Squares Regression
6 - Statistical Inference for Regression
7 - Dummy-Variable Regression
8 - Analysis of Variance
9 - Statistical Theory for Linear Models
10 - The Vector Geometry of Linear Models III - LINEAR-MODEL DIAGNOSTICS
11 - Unusual and Influential Data
12 - Diagnosing Non-Normality, Nonconstant Error Variance, and Nonlinearity
13 - Collinearity and its Purported Remedies IV - GENERALIZED LINEAR MODELS
14 - Logit and Probit Models
15 - Generalized Linear Models V - EXTENDING LINEAR AND GENERALIZED LINEAR MODELS
16 - Time-Series Regression
17 - Nonlinear Regression
18 - Nonparametric Regression
19 - Robust Regression
20 - Missing Data in Regression Models
21 - Bootstrapping Regression Models
22 - Model Selection, Averaging, and Validation A Notation References