APPLIED LINEAR REGRESSION MODELS（附光碟）

Kutner, Nachtsheim, Neter, Wasserman, Applied Linear Regression Models, 4/e (ALRM4e) is the long established leading authoritative text and reference on regression (previously Neter was lead author.) For students in most any discipline where statistical analysis or interpretation is used, ALRM has served as the industry standard.

The text includes brief introductory and review material, and then proceeds through regression and modeling. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and ""Comments"" to provide depth and statistical accuracy and precision. Applications used within the text and the hallmark problems, exercises, and projects are drawn from virtually all disciplines and fields providing motivation for students in any discipline. ALRM 4e provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor.

PARTI. SIMPLE LINEAR REGRESSION
Ch.1 Linear Regression with One Predictor Variable
Ch.2 Inferences in Regression and Correlation Analysis
Ch.3 Diagnostics and Remedial Measures
Ch.4 Simultaneous Inferences and Other Topics in Regression Analysis
Ch.5 Matrix Approach to Simple Linear Regression Analysis

PARTⅡ. MULTIPLE LINEAR REGRESSION
Ch.6 Multiple Regression I
Ch.7 Multiple Regression II
Ch.8 Building the Regression Model I: Models for Quantitative and Qualitative Predictors
Ch.9 Building the Regression Model II: Model Selection and Validation
Ch.10 Building the Regression Model III: Diagnostics
Ch.11 Remedial Measures and Alternative Regression Techniques
Ch.12 Autocorrelation in Time Series Data

PARTⅢ. NONLINEAR REGRESSION
Ch.13 Introduction to Nonlinear Regression and Neural Networks
Ch.14 Logistic Regression, Poisson Regression, and Generalized Linear Models