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Basu's theorem

In statistics, Basu's theorem states that any boundedly complete and sufficient statistic is independent of any ancillary statistic. This is a 1955 result of Debabrata Basu.

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Basu's theorem

Nodes24
Edges23
Triples31
Avg. degree1.92
Density0.083333
Components1

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Basu's theorem

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related to References · 31
Basu's theorem → Applications, Aug, Basu, Boos, Complete Sufficient Statistic, CRC Press USA, Dennis, Florida, Ghosh, Hughes, ISBN, Jacqueline, JSTOR, Malay, Monographs, MR, Mukhopadhyay, Nitis, October, Oliver

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displaystyle statistics independent mean variance normal theta theorem complete sufficient sample statistic ancillary distribution independence basu's therefore boundedly distributions jstor

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SubjectPredicateObjectConfidenceSrc
Basu's theoremrelated to ReferencesBasu0.60section
Basu's theoremrelated to ReferencesOn Statistics Independent0.60section
Basu's theoremrelated to ReferencesComplete Sufficient Statistic0.60section
Basu's theoremrelated to ReferencesSankhyā0.60section
Basu's theoremrelated to ReferencesJSTOR0.60section
Basu's theoremrelated to ReferencesMR0.60section
Basu's theoremrelated to ReferencesZbl0.60section
Basu's theoremrelated to ReferencesMukhopadhyay0.60section
Basu's theoremrelated to ReferencesNitis0.60section
Basu's theoremrelated to ReferencesProbability0.60section
Basu's theoremrelated to ReferencesStatistical Inference0.60section
Basu's theoremrelated to ReferencesStatistics0.60section

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