✦ LIBER ✦

A general model for two-level data with responses missing at random

✍ Scribed by Roderick P. McDonald

Book ID: 112726974
Publisher: Springer
Year: 1993
Tongue: English
Weight: 591 KB
Volume: 58
Category: Article
ISSN: 0033-3123
DOI: 10.1007/bf02294828

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Checking the adequacy of a general linea

Checking the adequacy of a general linear model with responses missing at random

✍ Zhihua Sun; Qihua Wang 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 380 KB

Empirical likelihood method for quantile

Empirical likelihood method for quantiles with response data missing at random

✍ Xia-yan Li; Jun-qing Yuan 📂 Article 📅 2012 🏛 Institute of Applied Mathematics, Chinese Academy 🌐 English ⚖ 212 KB

A test of missing completely at random f

A test of missing completely at random for longitudinal data with missing observations

✍ Taesung Park; Seung-Yeoun Lee 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 115 KB 👁 2 views

Liang and Zeger proposed a generalized estimating equations approach to the analysis of longitudinal data. Their models assume that missing observations are missing completely at random in the sense of Rubin. However, when this assumption does not hold, their analysis may yield biased results. In th

A Test of Missing Completely at Random f

A Test of Missing Completely at Random for Multivariate Data with Missing Values

✍ Roderick J. A. Little 📂 Article 📅 1988 🏛 American Statistical Association 🌐 English ⚖ 889 KB

Empirical Likelihood Confidence Interval

Empirical Likelihood Confidence Intervals for Response Mean with Data Missing at Random

✍ LIUGEN XUE 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 518 KB

Goodness-of-fit tests for general linear

Goodness-of-fit tests for general linear models with covariates missed at random

✍ Xu Guo; Wangli Xu 📂 Article 📅 2012 🏛 Elsevier Science 🌐 English ⚖ 288 KB