Design of Experiments for Generalized Linear Models / (Record no. 73393)

000 -LEADER
fixed length control field 03358nam a2200517Ii 4500
001 - CONTROL NUMBER
control field 9780429057489
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220531132521.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m o d
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190122t20182019fluab ob 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780429057489(e-book : PDF)
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1079055581
040 ## - Cataloging Source
-- FlBoTFG
-- FlBoTFG
-- rda
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA276
072 #7 -
-- MAT
-- 029000
-- bisacsh
072 #7 -
-- PBT
-- bicscc
082 04 -
-- 519.5/7
-- 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Russell, Kenneth G.,
Relator term author.
245 10 - TITLE STATEMENT
Title Design of Experiments for Generalized Linear Models /
Statement of responsibility, etc. by Kenneth G. Russell.
250 ## - EDITION STATEMENT
Edition statement First edition.
264 #1 -
-- Boca Raton, FL :
-- Chapman and Hall/CRC,
-- [2018].
264 #4 -
-- ©2019.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (240 pages) :
Other physical details 51 illustrations, text file, PDF.
336 ## -
-- text
-- rdacontent
337 ## -
-- computer
-- rdamedia
338 ## -
-- online resource
-- rdacarrier
490 1# -
-- Chapman & Hall/CRC Interdisciplinary Statistics
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
505 00 -
-- Generalized Linear Models Background Material The Theory Underlying Design The Binomial Distribution The Poisson Distribution Several Other Distributions Bayesian experimental design.
520 3# -
-- 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.
530 ## -
-- Also available in print format.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element binomial distribution.
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element linear mixed models.
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element linear models.
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element mixture experiments.
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Poisson distribution.
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element R software.
Source of heading or term bisacsh
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Linear models (Statistics)
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Experimental design.
655 #0 -
-- Electronic books.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Taylor and Francis.
776 08 -
-- Print version:
-- 9781498773133
830 #0 -
-- Chapman & Hall/CRC Interdisciplinary Statistics.
856 40 -
-- https://www.taylorfrancis.com/books/9780429057489
-- Click here to view

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