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Understanding regression analysis = ...
~
Westfall, Peter H., (1957-)
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Understanding regression analysis = a conditional distribution approach /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Understanding regression analysis/ Peter H. Westfall, Andrea L. Arias.
Reminder of title:
a conditional distribution approach /
Author:
Westfall, Peter H.,
other author:
Arias, Andrea L.
Published:
Boca Raton, FL :CRC Press, : c2020.,
Description:
1 online resource.
Notes:
"A Chapman & Hall book."
Subject:
Regression analysis. -
Online resource:
https://www.taylorfrancis.com/books/9781003025764
ISBN:
9781003025764
Understanding regression analysis = a conditional distribution approach /
Westfall, Peter H.,1957-
Understanding regression analysis
a conditional distribution approach /[electronic resource] :Peter H. Westfall, Andrea L. Arias. - Boca Raton, FL :CRC Press,c2020. - 1 online resource.
"A Chapman & Hall book."
Includes bibliographical references and index.
"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. It explains why the conditional distribution model is the correct model, also explains why the assumptions of the classical regression model are wrong. This one takes a realistic approach from the outset that all models are just approximations. The emphasis is to model Nature's processes realistically, rather than to assume that Nature works in particular, constrained ways"--
ISBN: 9781003025764
LCCN: 2020003322Subjects--Topical Terms:
529831
Regression analysis.
LC Class. No.: QA278.2
Dewey Class. No.: 519.5/36
Understanding regression analysis = a conditional distribution approach /
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Understanding regression analysis
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[electronic resource] :
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a conditional distribution approach /
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Peter H. Westfall, Andrea L. Arias.
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Boca Raton, FL :
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CRC Press,
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"A Chapman & Hall book."
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Includes bibliographical references and index.
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"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. It explains why the conditional distribution model is the correct model, also explains why the assumptions of the classical regression model are wrong. This one takes a realistic approach from the outset that all models are just approximations. The emphasis is to model Nature's processes realistically, rather than to assume that Nature works in particular, constrained ways"--
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Arias, Andrea L.
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https://www.taylorfrancis.com/books/9781003025764
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1 records • Pages 1 •
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W9449857
電子資源
11.線上閱覽_V
電子書
EB QA278.2
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1 records • Pages 1 •
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