Bayesian biostatistics /

The growth of biostatistics has been phenomenal in recent years and has been marked by considerable technical innovation in both methodology and computational practicality. One area that has experienced significant growth is Bayesian methods. The growing use of Bayesian methodology has taken place p...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Lesaffre, Emmanuel
Otros Autores: Lawson, Andrew (Andrew B.)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Chichester, West Sussex : Wiley, 2012.
Colección:Statistics in practice.
Temas:
Biometry > Methodology.
Bayesian statistical decision theory.
Biostatistics > methods
Bayes Theorem
Biométrie > Méthodologie.
Théorie de la décision bayésienne.
Théorème de Bayes.
NATURE > Reference.
SCIENCE > Life Sciences > Biology.
SCIENCE > Life Sciences > General.
Bayesian statistical decision theory
Acceso en línea:Texto completo
Descripción
Sumario:The growth of biostatistics has been phenomenal in recent years and has been marked by considerable technical innovation in both methodology and computational practicality. One area that has experienced significant growth is Bayesian methods. The growing use of Bayesian methodology has taken place partly due to an increasing number of practitioners valuing the Bayesian paradigm as matching that of scientific discovery. In addition, computational advances have allowed for more complex models to be fitted routinely to realistic data sets. Through examples, exercises and a combination of introduc.
Descripción Física:1 online resource
Bibliografía:Includes bibliographical references and index.
ISBN:9781118314579
1118314573
9781118314562
1118314565
9781119942405
1119942403
9781119942412
1119942411
1280772557
9781280772559

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