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  1. Bog
  2. Matematik
  3. Sandsynlighedsregning og statistik

Design of Experiments for Generalized Linear Models

Af: Kenneth G. Russell Engelsk Hardback

Design of Experiments for Generalized Linear Models

Af: Kenneth G. Russell Engelsk Hardback
Tjek vores konkurrenters priser

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.

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Tjek vores konkurrenters priser
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Tjek vores konkurrenters priser

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.

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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 240
ISBN-13: 9781498773133
Indbinding: Hardback
Udgave:
ISBN-10: 1498773133
Kategori: Sandsynlighedsregning og statistik
Udg. Dato: 26 dec 2018
Længde: 20mm
Bredde: 157mm
Højde: 236mm
Forlag: Taylor & Francis Inc
Oplagsdato: 26 dec 2018
Forfatter(e): Kenneth G. Russell
Forfatter(e) Kenneth G. Russell

Kategori Sandsynlighedsregning og statistik

ISBN-13 9781498773133

Sprog Engelsk

Indbinding Hardback

Sider 240

Udgave

Længde 20mm

Bredde 157mm

Højde 236mm

Udg. Dato 26 dec 2018

Oplagsdato 26 dec 2018

Forlag Taylor & Francis Inc

Kategori sammenhænge