Confidence estimation of a normal mean vector with incomplete data

DOI10.2307/3315648zbMath0941.62033OpenAlexW2008084205MaRDI QIDQ4267418

Maruthy K. Pannala, K. Krishnamoorthy

Publication date: 10 August 2000

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/3315648

zbMATH Keywords

missing datarepeated measurementslikelihood-ratio testmultiple comparisonScheffe intervalsBonferroni intervalsblock-monotone pattern

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Bayesian problems; characterization of Bayes procedures (62C10) Exact distribution theory in statistics (62E15) Paired and multiple comparisons; multiple testing (62J15)

Related Items (19)

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 ⋮ Asymptotic power comparison of T²-type test and likelihood ratio test for a mean vector based on two-step monotone missing data ⋮ Effect of nonnormality on tests for a mean vector with missing data under an elliptically contoured pattern-mixture model ⋮ Improved simplified T² test statistics for a mean vector with monotone missing data ⋮ Testing equality of two mean vectors with monotone incomplete data ⋮ Simultaneous tests for mean vectors and covariance matrices with three-step monotone missing data ⋮ Remarks on between estimator in the intraclass correlation model with missing data ⋮ Errors in discrimination with monotone missing data from multivariate normal populations ⋮ Bias correction forT²type statistic with two-step monotone missing data ⋮ 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 ⋮ Finite-sample inference with monotone incomplete multivariate normal data, III: Hotelling’s T²-statistic ⋮ Multivariate Behrens-Fisher problem with missing data ⋮ On the likelihood ratio test for the equality of multivariate normal populations with two-step monotone missing data ⋮ Multivariate regression with consecutively added dependent variables ⋮ An exact test for equality of two normal mean vectors with monotone missing data

Uses Software

• AS 53

Cites Work

• Unnamed Item
• Maximum Likelihood Estimates for a Multivariate Normal Distribution when some Observations are Missing
• On testing equality of means of correlated variables with incomplete data
• Inference and missing data
• Modeling the Drop-Out Mechanism in Repeated-Measures Studies
• A test for equality of means of correlated variates with missing data on one response
• Estimation of Parameters from Incomplete Data

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