Some simple test procedures for normal mean vector with incomplete data
From MaRDI portal
Publication:1280567
DOI10.1023/A:1003581513299zbMath0912.62066MaRDI QIDQ1280567
K. Krishnamoorthy, Maruthy K. Pannala
Publication date: 26 May 1999
Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)
likelihood ratio testpowermissing datamonotone patternunion-intersection testFisher's method of combining independent testsTippett's test
Related Items (14)
Finite-sample inference with monotone incomplete multivariate normal data. I. ⋮ Two-sample inference for normal mean vectors based on monotone missing data ⋮ Testing equality of mean vectors in a one-way MANOVA with monotone missing data ⋮ Testing equality of two normal covariance matrices with monotone missing data ⋮ Testing equality of two mean vectors with monotone incomplete data ⋮ Test for high-dimensional mean vector under missing observations ⋮ Remarks on between estimator in the intraclass correlation model with missing data ⋮ Errors in discrimination with monotone missing data from multivariate normal populations ⋮ Inferences on a normal covariance matrix and generalized variance with monotone missing data ⋮ Statistical inference for location and scale of elliptically contoured models with monotone missing data ⋮ Multivariate Linear Regression Model with Elliptically Contoured Distributed Errors and Monotone Missing Dependent Variables ⋮ Multivariate Behrens-Fisher problem with missing data ⋮ Multivariate regression with consecutively added dependent variables ⋮ An exact test for equality of two normal mean vectors with monotone missing data
This page was built for publication: Some simple test procedures for normal mean vector with incomplete data