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Modeling Discrete TimetoEvent Data Gerhard Tutz Springer ~ “Modeling Discrete TimetoEvent Data provides an excellent overview of a field that is underrepresented in the literature At what it aims to do striking a balance between theory and practice this book does a great job Its readers will understand not only what to do but also how to do it
Modeling Discrete TimetoEvent Data Springer Series in ~ “Modeling Discrete TimetoEvent Data provides an excellent overview of a field that is underrepresented in the literature At what it aims to do striking a balance between theory and practice this book does a great job Its readers will understand not only what to do but also how to do it
Modeling Discrete TimetoEvent Data Springer Series in ~ “Modeling Discrete TimetoEvent Data provides an excellent overview of a field that is underrepresented in the literature At what it aims to do striking a balance between theory and practice this book does a great job Its readers will understand not only what to do but also how to do it
Gerhard˜Tutz Matthias˜Schmid Modeling Discrete Timeto ~ to model timetoevent data The focus is on the modeling of the time it takes until a specific event occurs More generally one has mutually exclusive states that can be taken over time For example in the analysis of unemployment the states can refer to unemployment parttime employment fulltime employment or retirement One
Modeling Discrete TimetoEvent Data SpringerLink ~ In empirical studies however failure times are often discrete either because they have been measured in intervals quarterly or yearly or because they have been rounded or grouped The book covers wellestablished methods like lifetable analysis and discrete hazard regression models but also introduces stateofthe art techniques for model evaluation nonparametric estimation and variable selection
Modeling Discrete TimetoEvent Data eBook by Gerhard Tutz ~ Modeling Discrete TimetoEvent Data by Gerhard TutzMatthias Schmid Springer Series in Statistics Thanks for Sharing You submitted the following rating and review Well publish them on our site once weve reviewed them
Staff View Modeling Discrete TimetoEvent Data ~ Modeling Discrete TimetoEvent Data This book focuses on statistical methods for the analysis of discrete failure times Failure time analysis is one of the most important fields in statistical research with applications affecting a wide range of disciplines in particular demography econometrics epidemiology and clinical
Modeling Discrete TimetoEvent Data eBook 2016 ~ Modeling Discrete TimetoEvent Data provides an excellent overview of a field that is underrepresented in the literature At what it aims to do striking a balance between theory and practice this book does a great job
New Forthcoming Titles Journals Academic Springer ~ Modeling Discrete TimetoEvent Data Series Springer Series in Statistics Tutz Regression Modeling Strategies With Applications to Linear Models Logistic and Ordinal Regression and Survival Analysis Analysis of Neural Data Series Springer Series in Statistics Kass Robert E Eden Uri Brown Emery 2014
Introduction SpringerLink ~ Basic concepts of the modeling of discrete timetoevent data are considered In particular the discrete hazard or intensity function which represents the conditional probability that an event occurs at time t given it has not yet occurred is introduced
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