Kniha Selection Models for Nonignorable Missing Data Sandro Scheid

Selection Models for Nonignorable Missing Data

Autor: Sandro Scheid
Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: Peter Lang AG
Dostupnost: U nakladatele na objednávku
Odesíláme za 17-27 dnů
1 113
An introduction to missing data in statistical applications is given in the beginning. The main part...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2005
Stránek
128
EAN
9783631534991
ISBN
9783631534991
Enbook ID
10027673
Vydavatel
Hmotnost
188
Rozměry
210 x 150 x 9

Kompletní popis

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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