Market_Desc: · Practitioners in diverse fields, including engineers, who use regression analysis techniques Special Features: A revised and updated edition of a book with a solid reputation for its excellent treatment of the theory and applications of linear regression analysis, integrating standard topics with some of the newer and less conventional areas. The new edition features complete reorganization of the material since the previous edition was published in 1992, allowing for a more logical flow of bite-sized material while keeping the size of the book manageable. Modern topics added include classification and regression analysis (CART), neural networks, and the bootstrap, among others.· Expanded topics include robust regression, nonlinear regression, GLMs, and others· Problems and data sets have been extensively revised· Remains oriented toward the analyst who uses computers for problem solution· Authors have greatly expanded the discussion of regression diagnostics, illustrating all of the major procedures available in contemporary software packages· An accompanying Web site contains data sets, extensive problem solutions, and software hints About The Book: This book is intended as a text for a basic course in linear regression analysis. It contains the standard topics as well as some of the newer and more unconventional ones and blends both theory and application so that the reader will obtain and understanding of the basic principles necessary to apply regression methods in a variety of practical settings.
Chapter exercises provide practice with and enhance understanding of the analysis of each model. The book concludes with a review of SEM guidelines for reporting research.
Where Angels Fear to Tread: Interaction Effects in Multiple Regression : a Research Note
Introduction to the logistic regression model -- Multiple logistic regression -- Interpretation of the fitted logistic regression model -- Model-building strategies and methods for logistic regression -- Assessing the fit of the model -- ...
Introduction to Linear Regression Analysis
Most textbooks on regression focus on theory and the simplest of examples. Real statistical problems, however, are complex and subtle. This is not a book about the theory of regression.
The book begins with an excellent introduction to Stata and then provides a general treatment of estimation, testing, fit, and interpretation in this class of models.
This book is designed to provide a conceptually-oriented introduction to multiple regression.
Regression Analysis: Concepts and Applications focuses on thinking clearly about and solving practical statistical problems.
The first book to provide a unified framework for both single-level and multilevel modeling of ordinal categorical data, Applied Ordinal Logistic Regression Using Stata helps readers learn how to conduct analyses, interpret the results from ...
Multiple Regression and Causal Analysis