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Design of experiments for generalize...
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Russell, K. G.
Design of experiments for generalized linear models /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Design of experiments for generalized linear models /Kenneth G. Russell.
作者:
Russell, K. G.
出版者:
Boca Raton :CRC Press, Taylor & Francis Group,c2019.
面頁冊數:
xiii, 225 p. :ill. ;24 cm.
附註:
"A Chapman & Hall book."
標題:
Experimental design.
ISBN:
9781498773133 :
Design of experiments for generalized linear models /
Russell, K. G.
Design of experiments for generalized linear models /
Kenneth G. Russell. - Boca Raton :CRC Press, Taylor & Francis Group,c2019. - xiii, 225 p. :ill. ;24 cm. - Chapman & Hall/CRC interdisciplinary statistics series.
"A Chapman & Hall book."
Includes bibliographical references (p. 219-221) and index.
"While there are numerous books on the analysis of Generalized Linear Models (GLMs), there is very little information available on how to design the experiments that will collect the data. This book will describe the theory and methods for designing experiments to collect data that will be analysed by GLMs. It shows that the extensive theory underlying design for linear models does not work for GLMs, and gives practical guidance as to how best to design experiments for GLMs. It includes lots of examples to illustrate the topics, and is supplemented by R code for their implementation"--
ISBN: 9781498773133 :GBP$74.99
Patent No.: cam a2200229 a 450
LCCN: 2018041298Subjects--Topical Terms:
181887
Experimental design.
LC Class. No.: QA276 / R964 2019
Dewey Class. No.: 519.5/7
Design of experiments for generalized linear models /
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Kenneth G. Russell.
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xiii, 225 p. :
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"While there are numerous books on the analysis of Generalized Linear Models (GLMs), there is very little information available on how to design the experiments that will collect the data. This book will describe the theory and methods for designing experiments to collect data that will be analysed by GLMs. It shows that the extensive theory underlying design for linear models does not work for GLMs, and gives practical guidance as to how best to design experiments for GLMs. It includes lots of examples to illustrate the topics, and is supplemented by R code for their implementation"--
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