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Simultaneous Estimation and Prediction Using the Expected Coverage Measure Criterion
Simultaneous confidence regions and simultaneous prediction regions are considered using the expected coverage measure criterion of Naiman. Invariance methods are used to construct minimax procedures in multivariate linear models.
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Published in: | The Annals of statistics 1988-03, Vol.16 (1), p.265-277 |
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Language: | English |
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container_end_page | 277 |
container_issue | 1 |
container_start_page | 265 |
container_title | The Annals of statistics |
container_volume | 16 |
creator | Hooper, Peter M. |
description | Simultaneous confidence regions and simultaneous prediction regions are considered using the expected coverage measure criterion of Naiman. Invariance methods are used to construct minimax procedures in multivariate linear models. |
doi_str_mv | 10.1214/aos/1176350704 |
format | article |
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ispartof | The Annals of statistics, 1988-03, Vol.16 (1), p.265-277 |
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language | eng |
recordid | cdi_projecteuclid_primary_oai_CULeuclid_euclid_aos_1176350704 |
source | JSTOR Archival Journals and Primary Sources Collection; Project Euclid |
subjects | 62A05 62C20 62F25 62H99 62J10 62J15 Confidence set Cumulative distribution functions Digital rights management Exact sciences and technology GMANOVA Hunt-Stein theorem invariant Linear regression Linear transformations Mathematical intervals Mathematics Minimax multivariate regression Musical intervals Parametric inference prediction region Probabilities Probability and statistics Sciences and techniques of general use Statistics Weighting functions |
title | Simultaneous Estimation and Prediction Using the Expected Coverage Measure Criterion |
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