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Handbook of fitting statistical distributions with R /

Strengthened by examples taken from the scientific literature, this handbook provides statisticians and researchers across the physical and social sciences with cutting-edge methods for fitting continuous probability distributions. It presents families with wide-ranging applicability, including John...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Karian, Zaven A.
Otros Autores: Dudewicz, Edward J.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton : CRC Press, ©2011.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Handbook of fitting statistical distributions with R /  |c Zaven A. Karian, Edward J. Dudewicz. 
260 |a Boca Raton :  |b CRC Press,  |c ©2011. 
300 |a 1 online resource (xlv, 1672 pages) :  |b illustrations 
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504 |a Includes bibliographical references and index. 
520 |a Strengthened by examples taken from the scientific literature, this handbook provides statisticians and researchers across the physical and social sciences with cutting-edge methods for fitting continuous probability distributions. It presents families with wide-ranging applicability, including Johnson's system, kappa distribution, and generalized lambda distribution. By providing the necessary R programs, the book enables practitioners to implement the techniques using R computer code. To cover distribution method combinations not included in the book's extensive tables, the authors delve int. 
588 0 |a Print version record. 
505 0 |a pt. 1. Overview -- pt. 2. The generalized lambda distribution -- pt. 3. Quantile distribution methods -- pt. 4. Other families of distributions -- pt. 5. The generalized bootstrap and Monte Carlo methods -- pt. 6. Assessment of the quality of fits -- pt. 7. Applications -- pt. 8. Appendices. 
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