Regression Analysis provides complete coverage of the classical methods of statistical analysis. It is designed to give students an understanding of the purpose of statistical analyses, to allow the student to determine, at least to some degree, the correct type of statistical analyses to be performed in a given situation, and have some appreciation of what constitutes good experimental design. Examples and exercises contain real data and graphical illustration for ease of interpretation Outputs from SAS 7, SPSS 7, Excel, and Minitab are used for illustration, but any major statistical software package will work equally well
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 ...
This classic text, with its emphasis on clear, thorough presentation of concepts and applications, offers a complete, easily accessible introduction to the fundamentals of regression analysis.
Cohen's f2 for regressorX j is a ratio of the proportion of the variance inY uniquely explained byX j to the proportion of the variance inY unexplained by any variable in the model. Suppose you have estimated Y from two regressors X1 ...
Rosenbaum , P. , and D.B. Rubin ( 1983a ) “ Assessing Sensitivity to an Unobserved Binary Covariate in an Observational Study With a Binary Outcome . ” Journal of the Royal Statistical Society , Series B 45 : 212-218 .
This book is an introduction to regression analysis, focusing on the practicalities of doing regression analysis on real-life data.
From simple correlations and t-tests through multiple analysis of covariance, Carlberg offers hands-on, step-by-step walkthroughs using meaningful examples.
Índice: I: GETTING STARTED 1.
The Second Edition features updated examples and new references to modern software output.
Consequently, this book provides a sound foundation in the theory of this important subject.
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 ...