Results 231 to 240 of about 215,880 (264)

Regression and asymptotical location of a multivariate sample

Statistics & Probability Letters, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jacob, P., Suquet, Ch.
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Combining Univariate Tests for Multivariate Location Problem

Communications in Statistics - Theory and Methods, 2006
In this article, three methods of combining dependent univariate tests are studied. The Bahadur approximate efficiencies are derived under the asymptotic normal assumption. These procedures are applied to the multivariate location problem and compared with two Hotelling-type tests.
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IMPROVING UPON THE BEST INVARIANT ESTIMATOR IN MULTIVARIATE LOCATION PROBLEMS

Australian Journal of Statistics, 1983
SummaryWe are concerned with estimators which improve upon the best invariant estimator, in estimating a location parameter θ. If the loss function is L(θ ‐ a) with L convex, we give sufficient conditions for the inadmissibility of δ0(X) = X. If the loss is a weighted sum of squared errors, we find various classes of estimators δ which are better than ...
Puri, Madan L., Ralescu, Dan A.
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Multivariate Location-Scale Meta-Analysis

This Project contains the code and data necessary to reproduce all analyses from the manuscript "Multivariate Location-Scale Models for Meta-Analysis" (in prepration)
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Shrinkage of Maximum Likelihood Estimator of Multivariate Location

1994
In the multivariate model with independent components and symmetric marginal distributions, we construct correction terms which improve the asymptotic quadratic risk of MLE and/or other asymptotically efficient estimators. The correction terms have the form of formal posterior expectations of the average log-likelihood ratio, calculated with respect to
Jana Jurečková, Xavier Milhaud
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High-Breakdown Estimators of Multivariate Location and Scatter

2013
This contribution gives a brief summary of robust estimators of multivariate location and scatter. We assume that the original (uncontaminated) data follow an elliptical distribution with location vector μ and positive definite scatter matrix Σ. Robust methods aim to estimate μ and Σ even though the data has been contaminated by outliers.
Peter Rousseeuw, Mia Hubert
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Bayesian Statistical Inference For Multivariate Location Parameters.

1965
PhD ; Mathematics ; University of Michigan, Horace H. Rackham School of Graduate Studies ; http://deepblue.lib.umich.edu/bitstream/2027.42/184107/2/6605062 ...
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment

Ca-A Cancer Journal for Clinicians, 2022
Jun J Mao,, Msce, Lorenzo Cohen, Karen M Mustian   +2 more
exaly  

Multivariate location model

2005
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Nonparametric Confidence Regions for Some Multivariate Location Problems

Journal of the American Statistical Association, 1968
MADAN LAL PURI, PRANAB KUMAR SEN
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