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Ajouter au panierEtat : AS NEW. Etat de NEUF / AS NEW condition 363153499X 9783631534991 1051F 1.
Vendeur : Borkert, Schwarz und Zerfaß GbR, Berlin, Allemagne
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Ajouter au panierOriginalbroschur. Etat : 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.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Ajouter au panierTaschenbuch. Etat : 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.
Vendeur : preigu, Osnabrück, Allemagne
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Ajouter au panierTaschenbuch. Etat : 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.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Ajouter au panierTaschenbuch. Etat : 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.