Components of Variance Brochura - 2019

Name: Components of Variance
Price: 59.20 GBP
Availability: InStock
Author: D.R. Cox
ISBN: 9780367395971

por D. R. Cox; P. J. Solomon

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Identifying the sources and measuring the impact of haphazard variations are important in any number of research applications, from clinical trials and genetics to industrial design and psychometric testing. Only in very simple situations can such variations be represented effectively by independent, identically distributed random variables or by random sampling from a hypothetical infinite population.

Components of Variance illuminates the complexities of the subject, setting forth its principles with focus on both the development of models for detailed analyses and the statistical techniques themselves. The authors first consider balanced and unbalanced situations, then move to the treatment of non-normal data, beginning with the Poisson and binomial models and followed by extensions to survival data and more general situations. In the final chapter, they discuss ways of extending and assessing various models, including the study of exceedances, the use of nonlinear representations, the study of transformations of the response variable, and the detailed examination of the distributional form of the underlying random variables.

Careful signposting and numerous examples from genetic data analysis, clinical trial design, longitudinal data analysis, industrial design, and meta-analysis make this book accessible - and valuable - not only to statisticians but to all applied research scientists who use statistical methods.

Detalhes

Título Components of Variance
Autor D. R. Cox; P. J. Solomon
Encadernação Brochura
Páginas 184
Volumes 1
Idioma ENG
Editorial CRC Press
Data de publicação 2019-09-05
ISBN 9780367395971 / 0367395975
Peso 0.25 libras (0.11 kg)
Dimensão 8.9 x 5.9 x 0.4 in. (22.61 x 14.99 x 1.02 cm)
Dewey Decimal Code 519.538

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Components of Variance

por D.R. Cox

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ISBN 10 / ISBN 13

9780367395971 / 0367395975

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Descrição:

New. Identifying the sources and measuring the impact of haphazard variations are important in any number of research applications, from clinical trials and genetics to industrial design and psychometric testing. Only in very simple situations can such variations be represented effectively by independent, identically distributed random variables or by random sampling from a hypothetical infinite population. Components of Variance illuminates the complexities of the subject, setting forth its principles with focus on both the development of models for detailed analyses and the statistical techniques themselves. The authors first consider balanced and unbalanced situations, then move to the treatment of non-normal data, beginning with the Poisson and binomial models and followed by extensions to survival data and more general situations. In the final chapter, they discuss ways of extending and assessing various models, including the study of exceedances, the use of nonlinear representations, the study… Ler mais