Likelihood ratio testing on partial multinormal data

DOI10.1016/0167-7152(84)90043-9zbMath0564.62041OpenAlexW2047773067MaRDI QIDQ1058243

J. Blot

Publication date: 1984

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-7152(84)90043-9

zbMATH Keywords

missing datamultinormal distributionHocking-Marx estimateslikelihood ratio procedure

Mathematics Subject Classification ID

Hypothesis testing in multivariate analysis (62H15)

Cites Work

• Multiple Regression with Missing Observations among the Independent Variables
• Maximum Likelihood Estimates for a Multivariate Normal Distribution when some Observations are Missing
• The Non-Central Multivariate Beta Distribution
• Computation of the mean vector and dispersion matrix for incomplete multivariate data
• A Bayesian extension of the minimum AIC procedure of autoregressive model fitting
• Estimation with incomplete data: An improved computational method and the analysis of nested data
• Moments and Distributions of Estimates of Population Parameters from Fragmentary Samples
• Asymptotic Distributions of Some Multivariate Tests
• Estimation of Parameters from Incomplete Data
• ON THE DISTRIBUTION OF THE EXTREME STUDENTIZED DEVIATE FROM THE SAMPLE MEAN
• A new look at the statistical model identification
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item