Inference Based on Ranks for the Multiple-Design Multivariate Linear Model

DOI10.2307/2289937zbMath0713.62060OpenAlexW4246857259MaRDI QIDQ3198723

Barry H. Schwab, Pranab Kumar Sen, Vernon M. Chinchilli

Publication date: 1989

Full work available at URL: https://doi.org/10.2307/2289937

zbMATH Keywords

asymptotic powerWald-type statisticasymptotic testasymptotic multivariate normalityseemingly unrelated regression equationssequence of contiguous alternativesaligned rank statisticsfinite Fisher information matrixfour-way crossover designMDM linear modelmultiple-design multivariate linear modelmultivariate Cauchy distributionsmultivariate linear rank statisticpharmaceutical studyR estimate

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Estimation in multivariate analysis (62H12) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Hypothesis testing in multivariate analysis (62H15)

Related Items (2)

Robust analysis of two-way models with repeated measures on both factors ⋮ Robust estimation for the parameters of multiple-design multivariate linear models under general restriction

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