Asymptotic distributions of two test statistics for testing independence with missing data

DOI10.1080/03610928608829138zbMath0601.62073OpenAlexW2064203776MaRDI QIDQ3736737

S. R. Chakravorti, Muni S. Srivastava

Publication date: 1986

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

Full work available at URL: https://doi.org/10.1080/03610928608829138

zbMATH Keywords

normalitylikelihood ratio testmissing observationsmultivariate dataLRTtesting independenceincomplete samplesasymptotic null and non-null distributions

Mathematics Subject Classification ID

Multivariate distribution of statistics (62H10) Asymptotic distribution theory in statistics (62E20) Hypothesis testing in multivariate analysis (62H15)

Related Items (1)

Finite-sample inference with monotone incomplete multivariate normal data. II

Cites Work

• Unnamed Item
• Multivariate tests with incomplete data
• Asymptotic distribution of the latent roots of the noncentral wishart distribution and the power of the likelihood ratio test for nonadditivity
• Asymptotic Expansions of the Non-Null Distributions of the Likelihood Ratio Criteria for Multivariate Linear Hypothesis and Independence
• Locally Best Invariant Test for Sphericity and the Limiting Distributions

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