Design of experiments for generalized linear models / Kenneth G. Russell, National Institute for Applied Statistical Research Australia, University of Wollongong.
By: Russell, K. G. (Kenneth Graham).
Series: Chapman & Hall/CRC interdisciplinary statistics series.Publisher: Boca Raton : CRC Press, Taylor & Francis Group, [2019]Description: xiii, 225 pages : illustrations; 24 cm.ISBN: 9781498773133 (hardback : acidfree paper).Subject(s): Linear models (Statistics) | Experimental designDDC classification: 519.5/7 Online resources: eBook Single File Summary: "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"-- Provided by publisher.| Item type | Current location | Call number | URL | Status | Date due | Barcode |
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Internet | 519.5/7 RUS (Browse shelf) | https://www.taylorfrancis.com/books/mono/10.1201/9780429057489/design-experiments-generalized-linear-models-kenneth-russell | Available | NB3221 |
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| 511/.8 HUM Introduction to mathematical modeling / | 512/.5 CHA Fundamentals of linear algebra / | 515/.350285536 SHA Differential equations : | 519.5/7 RUS Design of experiments for generalized linear models / | 531 BAG Advanced classical mechanics / | 551.22/0954 KOL Earthquake hazard assessment : | 571.2 EME Emerging trends of plant physiology for sustainable crop production / |
"A Chapman & Hall book."
Includes bibliographical references (pages 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"-- Provided by publisher.
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