Applied Linear Regression Models

Part1 Simple Linear Regression 1 Linear Regression with One Predictor Variable 2 Inferences in Regression and Correlation Analysis 3 Diagnostics and Remedial Measures 4 Simultaneous Inferences and Other Topics in Regression Analysis 5 Matrix Approach to Simple Linear Regression Analysis Part 2 Multiple Linear Regression 6 Multiple Regression I 7 Multiple Regression II 8 Building the Regression Model I: Models for Quantitative and Qualitative Predictors 9 Building the Regression Model II: Model Selection and Validation 10 Building the Regression Model III: Diagnostics 11 Remedial Measures and Alternative Regression Techniques 12 Autocorrelation in Time Series Data Part 3 Nonlinear Regression 13 Introduction to Nonlinear Regression and Neural Networks 14 Logistic Regression, Poisson Regression, and Generalized Linear ModelsKutner, Michael H. is the author of 'Applied Linear Regression Models ', published 2003 under ISBN 9780072386912 and ISBN 0072386916.