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Understanding regression analysis = ...

Westfall, Peter H., (1957-)

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Understanding regression analysis = a conditional distribution approach /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Understanding regression analysis/ Peter H. Westfall, Andrea L. Arias.
其他題名:	a conditional distribution approach /
作者:	Westfall, Peter H.,
其他作者:	Arias, Andrea L.
出版者:	Boca Raton, FL :CRC Press, : c2020.,
面頁冊數:	1 online resource.
附註:	"A Chapman & Hall book."
標題:	Regression analysis. -
電子資源:	https://www.taylorfrancis.com/books/9781003025764
ISBN:	9781003025764

Understanding regression analysis = a conditional distribution approach /
Westfall, Peter H.,1957-

Understanding regression analysisa 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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245 1 0 $a Understanding regression analysis $h [electronic resource] : $b a conditional distribution approach / $c Peter H. Westfall, Andrea L. Arias.
260 $a Boca Raton, FL : $b CRC Press, $c c2020.
300 $a 1 online resource.
500 $a "A Chapman & Hall book."
504 $a Includes bibliographical references and index.
520 $a "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"-- $c Provided by publisher.
588 $a Description based on print version record.
650 0 $a Regression analysis. $3 529831
700 1 $a Arias, Andrea L. $3 3620664
856 4 0 $u https://www.taylorfrancis.com/books/9781003025764