✦ LIBER ✦

Autoregressive spectral analysis when observations are missing

✍ Scribed by Piet M.T. Broersen; Stijn de Waele; Robert Bos

Publisher: Elsevier Science
Year: 2004
Tongue: English
Weight: 308 KB
Volume: 40
Category: Article
ISSN: 0005-1098
DOI: 10.1016/j.automatica.2004.04.011

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Consistent estimates of super imposed ex

Consistent estimates of super imposed exponential signals when some observations are missing

✍ Debasis Kundu; Rameswar Kundu 📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 502 KB

On Bayesian estimation of seemingly unre

On Bayesian estimation of seemingly unrelated regressions when some observations are missing

✍ P.A.V.B. Swamy; J.S. Mehta 📂 Article 📅 1975 🏛 Elsevier Science 🌐 English ⚖ 584 KB

A result on hypothesis testing for a mul

A result on hypothesis testing for a multivariate normal distribution when some observations are missing

✍ Arthur Cohen 📂 Article 📅 1977 🏛 Elsevier Science 🌐 English ⚖ 342 KB

Estimation of regression models with equ

Estimation of regression models with equi-correlated responses when some observations on the response variable are missing

✍ H. Toutenburg; Shalabh 📂 Article 📅 2003 🏛 Springer-Verlag 🌐 English ⚖ 545 KB

On summary measures analysis of the line

On summary measures analysis of the linear mixed effects model for repeated measures when data are not missing completely at random

✍ Roderick J. Little; Trivellore Raghunathan 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 139 KB 👁 2 views

Subjects often drop out of longitudinal studies prematurely, yielding unbalanced data with unequal numbers of measures for each subject. A simple and convenient approach to analysis is to develop summary measures for each individual and then regress the summary measures on between-subject covariates