TY  - BOOK
AU  - Sandro Scheid
PY  - 2021
CY  - Berlin, Germany
PB  - Peter Lang Verlag
SN  - 1431-7982
TI  - Selection Models for Nonignorable Missing Data
UR  - https://www.peterlang.com/document/1099354
N2  - 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.
KW  - Daten, Selektionsmodell, longitudinale Daten, Statistik, Wahrscheinlichkeit, Fehlende Daten, nichtparametrisches Fehlermodell
LA  - English
ER  -