EUR 66,15
Cantidad disponible: 1 disponibles
Añadir al carritohardcover. Condición: very good. No Jacket. Springer, 2017. Hardback, no dustjacket. Sticker to back cover. Unread copy in very good condition. book.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 76,88
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
EUR 73,41
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
EUR 70,04
Cantidad disponible: 10 disponibles
Añadir al carritoPF. Condición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 87,23
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
EUR 73,02
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
EUR 92,68
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. pp. 250.
EUR 80,61
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
EUR 104,21
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
EUR 99,70
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. reprint edition. 250 pages. 9.25x6.10x0.62 inches. In Stock.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 135,23
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New.
EUR 77,52
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a broad range of statistical techniques to address emerging needs in the field of repeated measures. It also provides a comprehensive overview of extensions of generalized linear models for the bivariate exponential family of distributions, which represent a new development in analysing repeated measures data. The demand for statistical models for correlated outcomes has grown rapidly recently, mainly due to presence of two types of underlying associations: associations between outcomes, and associations between explanatory variables and outcomes.The book systematically addresses key problems arising in the modelling of repeated measures data, bearing in mind those factors that play a major role in estimating the underlying relationships between covariates and outcome variables for correlated outcome data. In addition, it presents new approaches to addressing current challenges in the field of repeated measures and models based on conditional and joint probabilities. Markov models of first and higher orders are used for conditional models in addition to conditional probabilities as a function of covariates. Similarly, joint models are developed using both marginal-conditional probabilities as well as joint probabilities as a function of covariates.In addition to generalized linear models for bivariate outcomes, it highlights extended semi-parametric models for continuous failure time data and their applications in order to include models for a broader range of outcome variables that researchers encounter in various fields. The book further discusses the problem of analysing repeated measures data for failure time in the competing risk framework, which is now taking on an increasingly important role in the field of survival analysis, reliability and actuarial science. Details on how to perform the analyses are included in each chapter and supplemented with newly developed R packages and functions along with SAS codes and macro/IML. It is a valuable resource for researchers, graduate students and other users of statistical techniques for analysing repeated measures data.
EUR 77,30
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Analysis of Repeated Measures Data | M. Ataharul Islam (u. a.) | Taschenbuch | xix | Englisch | 2018 | Springer | EAN 9789811099670 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
EUR 142,51
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 1st edition. 250 pages. 9.25x6.25x0.75 inches. In Stock.
EUR 152,75
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: New. New. book.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 58,23
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: new. Questo è un articolo print on demand.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 94,09
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand pp. 250.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 93,66
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND pp. 250.
Librería: moluna, Greven, Alemania
EUR 60,06
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Addresses the challenges involved in analyzing repeated-measures data in real-life situations with models applicable to a wide range of correlated outcome variables Covers not only traditional marginal models but also new approaches based on .
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 78,24
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: new. Questo è un articolo print on demand.
Idioma: Inglés
Publicado por Springer, Springer Mai 2018, 2018
ISBN 10: 9811099677 ISBN 13: 9789811099670
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 69,54
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents a broad range of statistical techniques to address emerging needs in the field of repeated measures. It also provides a comprehensive overview of extensions of generalized linear models for the bivariate exponential family of distributions, which represent a new development in analysing repeated measures data. The demand for statistical models for correlated outcomes has grown rapidly recently, mainly due to presence of two types of underlying associations: associations between outcomes, and associations between explanatory variables and outcomes.The book systematically addresses key problems arising in the modelling of repeated measures data, bearing in mind those factors that play a major role in estimating the underlying relationships between covariates and outcome variables for correlated outcome data. In addition, it presents new approaches to addressing current challenges in the field of repeated measures and models based on conditional and joint probabilities. Markov models of first and higher orders are used for conditional models in addition to conditional probabilities as a function of covariates. Similarly, joint models are developed using both marginal-conditional probabilities as well as joint probabilities as a function of covariates.In addition to generalized linear models for bivariate outcomes, it highlights extended semi-parametric models for continuous failure time data and their applications in order to include models for a broader range of outcome variables that researchers encounter in various fields. The book further discusses the problem of analysing repeated measures data for failure time in the competing risk framework, which is now taking on an increasingly important role in the field of survival analysis, reliability and actuarial science. Details on how to perform the analyses are included in each chapter and supplemented with newly developed R packages and functions along with SAS codes and macro/IML. It is a valuable resource for researchers, graduate students and other users of statistical techniques for analysing repeated measures data.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 272 pp. Englisch.
Librería: moluna, Greven, Alemania
EUR 81,44
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Addresses the challenges involved in analyzing repeated-measures data in real-life situations with models applicable to a wide range of correlated outcome variables Covers not only traditional marginal models but also new approaches based on .
Librería: Majestic Books, Hounslow, Reino Unido
EUR 140,39
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 140,39
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND.
Librería: preigu, Osnabrück, Alemania
EUR 84,50
Cantidad disponible: 5 disponibles
Añadir al carritoBuch. Condición: Neu. Analysis of Repeated Measures Data | M. Ataharul Islam (u. a.) | Buch | xix | Englisch | 2017 | Springer | EAN 9789811037931 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Idioma: Inglés
Publicado por Springer, Springer Jul 2017, 2017
ISBN 10: 9811037930 ISBN 13: 9789811037931
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 96,29
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents a broad range of statistical techniques to address emerging needs in the field of repeated measures. It also provides a comprehensive overview of extensions of generalized linear models for the bivariate exponential family of distributions, which represent a new development in analysing repeated measures data. The demand for statistical models for correlated outcomes has grown rapidly recently, mainly due to presence of two types of underlying associations: associations between outcomes, and associations between explanatory variables and outcomes.The book systematically addresses key problems arising in the modelling of repeated measures data, bearing in mind those factors that play a major role in estimating the underlying relationships between covariates and outcome variables for correlated outcome data. In addition, it presents new approaches to addressing current challenges in the field of repeated measures and models based on conditional and joint probabilities. Markov models of first and higher orders are used for conditional models in addition to conditional probabilities as a function of covariates. Similarly, joint models are developed using both marginal-conditional probabilities as well as joint probabilities as a function of covariates.In addition to generalized linear models for bivariate outcomes, it highlights extended semi-parametric models for continuous failure time data and their applications in order to include models for a broader range of outcome variables that researchers encounter in various fields. The book further discusses the problem of analysing repeated measures data for failure time in the competing risk framework, which is now taking on an increasingly important role in the field of survival analysis, reliability and actuarial science. Details on how to perform the analyses are included in each chapter and supplemented with newly developed R packages and functions along with SAS codes and macro/IML. It is a valuable resource for researchers, graduate students and other users of statistical techniques for analysing repeated measures data.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 272 pp. Englisch.