TY  - BOOK
AU  - Russell,Kenneth G.
ED  - Taylor and Francis.
TI  - Design of Experiments for Generalized Linear Models
T2  - Chapman & Hall/CRC Interdisciplinary Statistics
SN  - 9780429057489(e-book : PDF)
AV  - QA276 
U1  - 519.5/7 23
PY  - 2018///]
CY  - Boca Raton, FL
PB  - Chapman and Hall/CRC
KW  - binomial distribution
KW  - bisacsh
KW  - linear mixed models
KW  - linear models
KW  - mixture experiments
KW  - Poisson distribution
KW  - R software
KW  - Linear models (Statistics)
KW  - Experimental design
KW  - Electronic books
N1  - Includes bibliographical references and index; Generalized Linear Models Background Material The Theory Underlying Design The Binomial Distribution The Poisson Distribution Several Other Distributions Bayesian experimental design.; Also available in print format
N2  - Generalized Linear Models (GLMs) allow many statistical analyses to be extended to important statistical distributions other than the Normal distribution. While numerous books exist on how to analyse data using a GLM, little information is available on how to collect the data that are to be analysed in this way. This is the first book focusing specifically on the design of experiments for GLMs. Much of the research literature on this topic is at a high mathematical level, and without any information on computation. This book explains the motivation behind various techniques, reduces the difficulty of the mathematics, or moves it to one side if it cannot be avoided, and gives examples of how to write and run computer programs using R. Features The generalisation of the linear model to GLMs Background mathematics, and the use of constrained optimisation in R Coverage of the theory behind the optimality of a design Individual chapters on designs for data that have Binomial or Poisson distributions Bayesian experimental design An online resource contains R programs used in the book This book is aimed at readers who have done elementary differentiation and understand minimal matrix algebra, and have familiarity with R. It equips professional statisticians to read the research literature. Nonstatisticians will be able to design their own experiments by following the examples and using the programs provided
UR  - https://www.taylorfrancis.com/books/9780429057489
ER  -