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Añadir al carritoCondición: New. pp. 140 1st ed. 2016 edition NO-PA16APR2015-KAP.
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Añadir al carritoPaperback. Condición: Brand New. 140 pages. 9.00x6.00x0.50 inches. In Stock.
Idioma: Inglés
Publicado por Springer, Springer Gabler, 2016
ISBN 10: 3662493314 ISBN 13: 9783662493311
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book will be of interest to readers active in the fields of survival analysis, genetics, ecology, biology, demography, reliability and quality control.Since Sir David Cox's pioneering work in 1972, the proportional hazards model has become the most important model in survival analysis. The success of the Cox model stimulated further studies in semiparametric and nonparametric theories, counting process models, study designs in epidemiology, and the development of many other regression models that could offer more flexible or more suitable approaches in data analysis.Flexible semiparametric regression models are increasingly being used to relate lifetime distributions to time-dependent explanatory variables. Throughout the book, various recent statistical models are developed in close connection with specific data from experimental studies in clinical trials or from observational studies.
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Añadir al carritoTaschenbuch. Condición: Neu. The Cox Model and Its Applications | Mikhail Nikulin (u. a.) | Taschenbuch | SpringerBriefs in Statistics | xiii | Englisch | 2016 | Springer | EAN 9783662493311 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Añadir al carritoCondición: new. Questo è un articolo print on demand.
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Añadir al carritoCondición: New. Print on Demand pp. 140.
Idioma: Inglés
Publicado por Springer Berlin Heidelberg Apr 2016, 2016
ISBN 10: 3662493314 ISBN 13: 9783662493311
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book will be of interest to readers active in the fields of survival analysis, genetics, ecology, biology, demography, reliability and quality control.Since Sir David Cox's pioneering work in 1972, the proportional hazards model has become the most important model in survival analysis. The success of the Cox model stimulated further studies in semiparametric and nonparametric theories, counting process models, study designs in epidemiology, and the development of many other regression models that could offer more flexible or more suitable approaches in data analysis.Flexible semiparametric regression models are increasingly being used to relate lifetime distributions to time-dependent explanatory variables. Throughout the book, various recent statistical models are developed in close connection with specific data from experimental studies in clinical trials or from observational studies. 140 pp. Englisch.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 140.
Idioma: Inglés
Publicado por Springer Berlin Heidelberg, 2016
ISBN 10: 3662493314 ISBN 13: 9783662493311
Librería: moluna, Greven, Alemania
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Offers a short-course or one-semester material for students, biostatisticians, and for scientific researchers who demand applications of survival analysis Illustrated with real life examples.
Idioma: Inglés
Publicado por Springer, Springer Gabler Apr 2016, 2016
ISBN 10: 3662493314 ISBN 13: 9783662493311
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book will be of interest to readers active in the fields of survival analysis, genetics, ecology, biology, demography, reliability and quality control.Since Sir David Cox¿s pioneering work in 1972, the proportional hazards model has become the most important model in survival analysis. The success of the Cox model stimulated further studies in semiparametric and nonparametric theories, counting process models, study designs in epidemiology, and the development of many other regression models that could offer more flexible or more suitable approaches in data analysis.Flexible semiparametric regression models are increasingly being used to relate lifetime distributions to time-dependent explanatory variables. Throughout the book, various recent statistical models are developed in close connection with specific data from experimental studies in clinical trials or from observational studies.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 140 pp. Englisch.