Richard Berk identifies a wide variety of problems with regression analysis as it is commonly used and then provides a number of ways in which practice could be improved.
By assuming it is possible to understand regression analysis without fully comprehending all its underlying proofs and theories, this introduction to the widely used statistical technique is accessible to readers who may have only a ...
This new edition features the following enhancements: Chapter 12, Logistic Regression, is expanded to reflect the increased use of the logit models in statistical analysis A new chapter entitled Further Topics discusses advanced areas of ...
The Second Edition features updated examples and new references to modern software output.
Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining ... Second Edition CLARKE · Linear Models: The Theory and Application of Analysis of Variance CLARKE and DISNEY· Probability and Random Processes: A First Course with ...
... a regression model. It is of interest to determine what types of matrices are well-conditioned and particularly those that are optimally conditioned with H = 1. Since the singular values of A are the eigenvalues of ATA, if A : Im, ...
This book is an introduction to regression analysis, focusing on the practicalities of doing regression analysis on real-life data.
A separate set of exercises allows students to select a data set to apply the concepts learned in each chapter to a research question of interest to them, all updated for this edition.
Consequently, this book provides a sound foundation in the theory of this important subject.
Regression Analysis By Example Using R A STRAIGHTFORWARD AND CONCISE DISCUSSION OF THE ESSENTIALS OF REGRESSION ANALYSIS In the newly revised sixth edition of Regression Analysis By Example Using R, distinguished statistician Dr Ali S. Hadi ...
Regression Analysis: Modeling & Forecasting