Likelihood estimation of missing cell means in the fixed model analysis of variance

DOI10.1080/03610929408831396zbMath0825.62228OpenAlexW2161479790MaRDI QIDQ4843661

H. Dennis Tolley, Gilbert W. Fellingham, D. T. Scott

Publication date: 17 August 1995

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610929408831396

zbMATH Keywords

EM algorithmidentifiable likelihoodLeast squares closed form solutions

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Likelihood Methods for Combining Tables of Data

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Maximum Likelihood Estimates for a Multivariate Normal Distribution when some Observations are Missing
• Balanced Hypotheses and Unbalanced Data
• Estimation and hypothesis in linear models-A reparameterization approach to the cell mlans modll
• On the Problem of Missing Data in Linear Models
• Inference and missing data
• Estimation of Parameters from Incomplete Data

This page was built for publication: Likelihood estimation of missing cell means in the fixed model analysis of variance