Time Series Analysis for Longitudinal Survey Data Under Informative Sampling and Nonignorable Missingness

Time Series Analysis for Longitudinal Survey Data Under Informative Sampling and Nonignorable Missingness

The analysis of longitudinal survey data is often complicated when informative sampling or nonignorable missing data exists. Existing methods that can handle both informative sampling and nonignorable missing data are only limited to the situation of no time dependence in the data. In this paper, w...

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Bibliografski detalji
Glavni autori: Zhan Liu, Chun Yip Yau
Format: Članak
Jezik:English
Izdano: Instituto Nacional de Estatística | Statistics Portugal 2022-08-01
Serija:Revstat Statistical Journal
Teme:
Autoregressive model
exponential model
probit model
logistic model
sample likelihood
Online pristup:https://revstat.ine.pt/index.php/REVSTAT/article/view/379

Internet

https://revstat.ine.pt/index.php/REVSTAT/article/view/379

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