On the likelihood ratio test for the equality of multivariate normal populations with two-step monotone missing data

DOI10.1080/15598608.2016.1215942zbMath1420.62076OpenAlexW2502919978MaRDI QIDQ2323200

Takashi Seo, Miki Hosoya

Publication date: 30 August 2019

Published in: Journal of Statistical Theory and Practice (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/15598608.2016.1215942

zbMATH Keywords

asymptotic expansionlinear interpolationmodified likelihood ratio test statisticmonotone missing date

Mathematics Subject Classification ID

Multivariate distribution of statistics (62H10) Asymptotic distribution theory in statistics (62E20)

Related Items (1)

Simultaneous tests for mean vectors and covariance matrices with three-step monotone missing data

Cites Work

• Equivalence testing of mean vector and covariance matrix for multi-populations under a two-step monotone incomplete sample
• Maximum likelihood estimation for multivariate normal distribution with monotone sample
• Some Basic Properties of the Mle's for a Multivariate Normal Distribution with Monotone Missing Data
• Confidence estimation of a normal mean vector with incomplete data
• Bias correction forT²type statistic with two-step monotone missing data
• Inferences on a normal covariance matrix and generalized variance with monotone missing data
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: On the likelihood ratio test for the equality of multivariate normal populations with two-step monotone missing data