Semiparametric Theory and Missing Data

Lingua: inglese

Editore: Springer, Humana Nov 2010, 2010

1441921850 / 9781441921857

Serie: Libro 83 di 160 - Springer Series in Statistics

Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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Descrizione dell’articolo da parte del venditore

This item is printed on demand - Print on Demand Titel. Neuware -Missing data arise in almost all scientific disciplines. In many cases, the treatment of missing data in an analysis is carried out in a casual and ad-hoc manner, leading, in many cases, to invalid inference and erroneous conclusions. In the past 20 years or so, there has been a serious attempt to understand the underlying issues and difficulties that come about from missing data and their impact on subsequent analysis. There has been a great deal written on the theory developed for analyzing missing data for finite-dimensional parametric models. This includes an extensive literature on likelihood-based methods and multiple imputation. More recently, there has been increasing interest in semiparametric models which, roughly speaking, are models that include both a parametric and nonparametric component. Such models are popular because estimators in such models are more robust than in traditional parametric models. The theory of missing data applied to semiparametric models is scattered throughout the literature with no thorough comprehensive treatment of the subject.This book combines much of what is known in regard to the theory of estimation for semiparametric models with missing data in an organized and comprehensive manner. It starts with the study of semiparametric methods when there are no missing data. The description of the theory of estimation for semiparametric models is at a level that is both rigorous and intuitive, relying on geometric ideas to reinforce the intuition and understanding of the theory. These methods are then applied to problems with missing, censored, and coarsened data with the goal of deriving estimators that are as robust and efficient as possible.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 404 pp. Englisch.…

Codice articolo 9781441921857

Titolo
Semiparametric Theory and Missing Data
Autore
Anastasios Tsiatis
Editore
Springer, Humana Nov 2010
Anno di pubblicazione
2010
Condizione
Neu
Rilegatura
Taschenbuch
Lingua
inglese
ISBN 10
1441921850
ISBN 13
9781441921857
Peso dell'articolo
610 grammi
Dimensioni
235x155x22 mm
Serie
Libro 83 di 160: Springer Series in Statistics

buchversandmimpf2000

Emtmannsberg, BAYE, Germania

Venditore con 5 stelle

Venditore AbeBooks dal 23 gennaio 2017

Tariffe di spedizione da Germania a U.S.A.

ArticoloDa 60 a 60 giorni lavorativiDa 60 a 60 giorni lavorativi
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