Serving as both a student textbook and a professional reference/handbook, this volume explores the statistical methods of examining time intervals between successive state transitions or events. Examples include: survival rates of patients in medical studies, unemployment periods in economic studies, or the period of time it takes a criminal to break the law after his release in a criminological study. The authors illustrate the entire research path required in the application of event-history analysis, from the initial problems of recording event-oriented data to the specific questions of data organization, to the concrete application of available program packages and the interpretation of the obtained results. Event History Analysis: * makes didactically accessible the inclusion of covariates in semi-parametric and parametric regression models based upon concrete examples * presents the unabbreviated close relationship underlying statistical theory * details parameter-free methods of analysis of event-history data and the possibilities of their graphical presentation * discusses specific problems of multi-state and multi-episode models * introduces time-varying covariates and the question of unobserved population heterogeneity * demonstrates, through examples, how to implement hypotheses tests and how to choose the right model.

Serving as both a student textbook and a professional reference/handbook, this volume explores the statistical methods of examining time intervals between successive state transitions or events. Examples include: survival rates of patients in medical studies, unemployment periods in economic studies, or the period of time it takes a criminal to break the law after his release in a criminological study. The authors illustrate the entire research path required in the application of event-history analysis, from the initial problems of recording event-oriented data to the specific questions of data organization, to the concrete application of available program packages and the interpretation of the obtained results. Event History Analysis: * makes didactically accessible the inclusion of covariates in semi-parametric and parametric regression models based upon concrete examples * presents the unabbreviated close relationship underlying statistical theory * details parameter-free methods of analysis of event-history data and the possibilities of their graphical presentation * discusses specific problems of multi-state and multi-episode models * introduces time-varying covariates and the question of unobserved population heterogeneity * demonstrates, through examples, how to implement hypotheses tests and how to choose the right model.

proben gewidmet und betrifft Verfahren zum Lokalisations-, Streuungs- und Verteilungsvergleich. Der Fall zweier verbundener Stichproben wird in Kapitel 4 behandelt; hierbei stehen Unab- hangigkeitsprufungen mit Hilfe von Rangkorrelationskoeffizienten im Vordergrund. In Kapitel 5 werden die verschiedenen Designs zum Lokalisationsvergleich mit Hilfe von k unabhangigen bzw. k ver- bundenen Stichproben ausfuhrlich eroertert. In Kapitel 6 schliess- lich werden Grundfragen des Einsatzes von - verteilungsfreien oder verteilungsgebundenen - Testen in den Anwendungen behandelt. Diese Grundfragen betreffen die Formulierung der Nullhypothese, die Auswahl der adaquaten Testverfahren, die Festlegung von Fehler- wahrscheinlichkeiten und das Vorliegen einer zureichenden Daten- basis. Die fur die Durchfuhrung der dargestellten Teste noetigen Tabellen sind in einen Tabellenanhang eingebracht worden. Den Autoren ist es eine angenehme Pflicht, dem Springer-Verlag, insbesondere Herrn Dr. Muller, fur eine sehr gute Zusammenarbeit zu danken. Ihr Dank gilt ausserdem Frau Winterholer und Frau Haug, beide Tubingen, welche die Ubertragung des Manuskriptes mit grosser Einsatzbereitschaft besorgten.