Synopsis
An introduction to missing data in statistical applications is given in the beginning. The main part of the book deals with selection models for nonignorable missing data. The theory of selection models is described and illustrated by examples. Maximum Likelihood as well as Bayesian estimation approaches are discussed. A selection model with a nonparametric missing model that allows to treat flexible missing patterns is developed. This approach is unique in literature. The proposed model is extended to a model for longitudinal data.
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About the Author
The Author: Sandro Scheid was born in Munich 1969. After his studies of Economics at the University of Bremen and the Freie Universität of Berlin, between 1989 and 1993, the author gained a degree in Statistics at the Department of Statistics at the University of Munich in 2001. He worked with a research project of the German Scientific Foundation that deals with discrete structures. The author's topic within this project was missing data. He finished his doctoral thesis in 2004.
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Selection Models for Nonignorable Missing Data (Anwendungsorientierte Statistik)
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Peter Lang GmbH, Internationaler Verlag der Wissenschaften, 2005
ISBN 10: 363153499X
ISBN 13: 9783631534991
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Selection Models for Nonignorable Missing Data
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Selection models for nonignorable missing data. Anwendungsorientierte Statistik Bd. 8.
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Frankfurt: Lang, 2005
ISBN 10: 363153499X
ISBN 13: 9783631534991
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Originalbroschur. Condition: Sehr gut. 128 S. Ein gutes und sauberes Exemplar. - Contents: Introduction to missing data problems in general Selection models for nonignorable missing data Discussion of Maximum Likelihood and Bayesian estimation routines Development of a selection model with a nonparametric missing model Extension of the latter to a model for longitudinal data. ISBN 9783631534991 Sprache: Englisch Gewicht in Gramm: 158. Seller Inventory # 1027115
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Selection Models for Nonignorable Missing Data
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -An introduction to missing data in statistical applications is given in the beginning. The main part of the book deals with selection models for nonignorable missing data. The theory of selection models is described and illustrated by examples. Maximum Likelihood as well as Bayesian estimation approaches are discussed. A selection model with a nonparametric missing model that allows to treat flexible missing patterns is developed. This approach is unique in literature. The proposed model is extended to a model for longitudinal data. 128 pp. Englisch. Seller Inventory # 9783631534991
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Selection Models for Nonignorable Missing Data : Dissertationsschrift
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - An introduction to missing data in statistical applications is given in the beginning. The main part of the book deals with selection models for nonignorable missing data. The theory of selection models is described and illustrated by examples. Maximum Likelihood as well as Bayesian estimation approaches are discussed. A selection model with a nonparametric missing model that allows to treat flexible missing patterns is developed. This approach is unique in literature. The proposed model is extended to a model for longitudinal data. Seller Inventory # 9783631534991
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Selection Models for Nonignorable Missing Data | Dissertationsschrift
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Taschenbuch. Condition: Neu. Selection Models for Nonignorable Missing Data | Dissertationsschrift | Sandro Scheid | Taschenbuch | Englisch | Peter Lang | EAN 9783631534991 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 133188786