This book introduces basic and advanced concepts of categorical regression with a focus on the structuring constituents of regression, including regularization techniques to structure predictors. In addition to standard methods such as the logit and probit model and extensions to multivariate settings, the author presents more recent developments in flexible and high-dimensional regression, which allow weakening of assumptions on the structuring of the predictor and yield fits that are closer to the data. A generalized linear model is used as a unifying framework whenever possible in particular parametric models that are treated within this framework. Many topic ..

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 research. Although there are a large variety of statistical methods for failure time analysis, many techniques are designed for failure times that are measured on a continuous scale. In empirical studies, however, failure times are often discrete, either because they have been measured in intervals (e.g., quarterly or yearly) or because they have been rounded or grouped. The ..

Das Buch gibt eine Einf hrung und einen Einblick in Latent Trait-Modelle zum Paarvergleich mit ordinaler Reaktionsvariabler. Zahlreiche neue Ergebnisse werden unter dem Gesichtspunkt der Praktikabilit t sowie der me theoretischen Fundierung vorgestellt. ..

Das Werk gibt eine Einführung in die Kategoriale Regression, die auch für Anwender sehr gut geeignet ist. Neben wirtschaftswissenschaftlichen Beispielen, die zahlenmä ig dominieren, finden sich Beispiele aus Biometrie, der medizinischen Statistik, Psychologie und Demographie. ..

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 research. Although there are a large variety of statistical methods for failure time analysis, many techniques are designed for failure times that are measured on a continuous scale. In empirical studies, however, failure times are often discrete, either because they have been measured in intervals (e.g., quarterly or yearly) or because they have been rounded or grouped. The ..