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Can I read Introduction to linear regression analysis,Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining,Wiley on EtoBox?

Introduction to linear regression analysis,Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining,Wiley by Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining is a nonfiction available to read on EtoBox.

What is Introduction to linear regression analysis,Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining,Wiley about?

Introduction to Linear Regression Analysis, Fifth Edition continues to present both the conventional and less common uses of linear regression in today's 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

Who reads Introduction to linear regression analysis,Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining,Wiley?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining
Publisher
Wiley : A John Wiley & Sons, Inc
Published
2015
Language
EN
ISBN
9781119180173
Category
nonfiction
Subjects
Engineering, Mathematics, Mathematical Statistics

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