Introduction to Linear Regression Analysis. 5th Edition ...推荐.pdfVIP

Brochure More information from /reports/2174015/ Introduction to Linear Regression Analysis. 5th Edition. Wiley Series in Probability and Statistics Description: Praise for the Fourth Edition As with previous editions, the authors have produced a leading textbook on regression. Journal of the American Statistical Association A comprehensive and up–to–date introduction to the fundamentals of regression analysis Introduction to Linear Regression Analysis, Fifth Edition continues to present both the conventional and less common uses of linear regression in todays cutting–edge scientific research. The authors blend both theory and application to equip readers with an understanding of the basic principles needed to apply regression model–building techniques in various fields of study, including engineering, management, and the health sciences. Following a general introduction to regression modeling, including typical applications, a host of technical tools are outlined such as basic inference procedures, introductory aspects of model adequacy checking, and polynomial regression models and their variations. The book then discusses how transformations and weighted least squares can be used to resolve problems of model inadequacy and also how to deal with influential observations. The Fifth Edition features numerous newly added topics, including: A chapter on regression analysis of time series data that presents the Durbin–Watson test and other techniques for detecting autocorrelation as well as parameter estimation in time series regression models Regression models with random effects in addition to a discussion o