Understanding Regression Analysis: A Conditional Distribution Approach (Paperback or Softback)

Westfall, Peter H.

ISBN 10: 0367493519 ISBN 13: 9780367493516

Edit� par CRC Press 5/6/2022, 2022

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Understanding Regression Analysis: A Conditional Distribution Approach 1.95. N� de r�f. du vendeur BBS-9780367493516

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Synopsis :

This book unifies diverse regression applications including the classical model, ANOVA models, generalized models including Poisson, Negative binomial, logistic, and survival, neural networks and decision trees under a common umbrella; namely, the conditional distribution model.

� propos de l?auteur:

Peter H. Westfall has a Ph.D. in Statistics from the University of California at Davis, as well as many years of teaching, research, and consulting experience, in a variety of statistics-related disciplines. He has published over 100 papers on statistical theory, methods, and applications; and he has written several books, spanning academic, practitioner, and textbook genres. He is former editor of The American Statistician, and a Fellow of the American Statistical Association.

Andrea L. Arias is a Senior Operations Research Specialist at BNSF Railway. She has a Ph.D. in Industrial Engineering with a minor in Business Statistics from Texas Tech University, and a Doctoral Degree in Industrial Engineering from Pontificia Universidad Cat�lica de Valparaiso, Chile. Her main areas of expertise include Mathematical Programming, Network Optimization, Statistics and Simulation. She is an active member of the Institute for Operations Research and the Management Sciences (INFORMS.)

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Titre : Understanding Regression Analysis: A ...
�diteur : CRC Press 5/6/2022
Date d'�dition : 2022
Reliure : Paperback or Softback
Etat : New
Type de livre : Book

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Understanding Regression Analysis : A Conditional Distribution Approach

Westfall, Peter H.; Arias, Andrea L.

Edit� par Chapman and Hall/CRC, 2022

ISBN 10 : 0367493519 ISBN 13 : 9780367493516

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UNDERSTANDING REGRESSION ANALYSIS

WESTFALL, PETER H.

Edit� par Chapman and Hall/CRC, 2022

ISBN 10 : 0367493519 ISBN 13 : 9780367493516

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Understanding Regression Analysis

Peter H. Westfall

Edit� par CRC Press, 2022

ISBN 10 : 0367493519 ISBN 13 : 9780367493516

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Understanding Regression Analysis: A Conditional Distribution Approach

Westfall, Peter H.

Edit� par Chapman and Hall/CRC 2022-05, 2022

ISBN 10 : 0367493519 ISBN 13 : 9780367493516

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Understanding Regression Analysis

Peter H. Westfall

Edit� par Chapman And Hall/CRC Mai 2022, 2022

ISBN 10 : 0367493519 ISBN 13 : 9780367493516

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Understanding Regression Analysis unifies diverse regression applications including the classical model, ANOVA models, generalized models including Poisson, Negative binomial, logistic, and survival, neural networks, and decision trees under a common umbrella -- namely, the conditional distribution model. It explains why the conditional distribution model is the correct model, and it also explains (proves) why the assumptions of the classical regression model are wrong. Unlike other regression books, this one from the outset takes a realistic approach that all models are just approximations. Hence, the emphasis is to model Nature's processes realistically, rather than to assume (incorrectly) that Nature works in particular, constrained ways.Key features of the book include:Numerous worked examples using the R softwareKey points and self-study questions displayed 'just-in-time' within chaptersSimple mathematical explanations ('baby proofs') of key conceptsClear explanations and applications of statistical significance (p-values), incorporating the American Statistical Association guidelinesUse of 'data-generating process' terminology rather than 'population'Random-X framework is assumed throughout (the fixed-X case is presented as a special case of the random-X case)Clear explanations of probabilistic modelling, including likelihood-based methodsUse of simulations throughout to explain concepts and to perform data analysesThis book has a strong orientation towards science in general, as well as chapter-review and self-study questions, so it can be used as a textbook for research-oriented students in the social, biological and medical, and physical and engineering sciences. As well, its mathematical emphasis makes it ideal for a text in mathematics and statistics courses. With its numerous worked examples, it is also ideally suited to be a reference book for all scientists. 516 pp. Englisch. N� de r�f. du vendeur 9780367493516

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