Characterizations of univariate and multivariate distributions using regression properties
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McGill University
1967
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ndltd-LACETR-oai-collectionscanada.gc.ca-QMM.737252014-02-13T04:08:15ZCharacterizations of univariate and multivariate distributions using regression propertiesGordon, Florence S.Distribution (Probability theory)Multivariate analysis.McGill University1967Electronic Thesis or Dissertationapplication/pdfenalephsysno: 000162876proquestno: AAINK02686Theses scanned by UMI/ProQuest.All items in eScholarship@McGill are protected by copyright with all rights reserved unless otherwise indicated.Doctor of Philosophy (Department of Mathematics) http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=73725 |
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NDLTD |
language |
en |
format |
Others
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NDLTD |
topic |
Distribution (Probability theory) Multivariate analysis. |
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Distribution (Probability theory) Multivariate analysis. Gordon, Florence S. Characterizations of univariate and multivariate distributions using regression properties |
author |
Gordon, Florence S. |
author_facet |
Gordon, Florence S. |
author_sort |
Gordon, Florence S. |
title |
Characterizations of univariate and multivariate distributions using regression properties |
title_short |
Characterizations of univariate and multivariate distributions using regression properties |
title_full |
Characterizations of univariate and multivariate distributions using regression properties |
title_fullStr |
Characterizations of univariate and multivariate distributions using regression properties |
title_full_unstemmed |
Characterizations of univariate and multivariate distributions using regression properties |
title_sort |
characterizations of univariate and multivariate distributions using regression properties |
publisher |
McGill University |
publishDate |
1967 |
url |
http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=73725 |
work_keys_str_mv |
AT gordonflorences characterizationsofunivariateandmultivariatedistributionsusingregressionproperties |
_version_ |
1716646030034862080 |