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- Basu's_theorem abstract "In statistics, Basu's theorem states that any boundedly complete sufficient statistic is independent of any ancillary statistic. This is a 1955 result of Debabrata Basu.It is often used in statistics as a tool to prove independence of two statistics, by first demonstrating one is complete sufficient and the other is ancillary, then appealing to the theorem.[citation needed] An example of this is to show that the sample mean and sample variance of a normal distribution are independent statistics, which is done in the Examples section below. This property (independence of sample mean and sample variance) characterizes normal distributions.".
- Basu's_theorem wikiPageID "7807871".
- Basu's_theorem wikiPageRevisionID "603973893".
- Basu's_theorem hasPhotoCollection Basu's_theorem.
- Basu's_theorem subject Category:Articles_containing_proofs.
- Basu's_theorem subject Category:Statistical_inference.
- Basu's_theorem subject Category:Statistical_theorems.
- Basu's_theorem type Abstraction100002137.
- Basu's_theorem type Communication100033020.
- Basu's_theorem type Message106598915.
- Basu's_theorem type Proposition106750804.
- Basu's_theorem type Statement106722453.
- Basu's_theorem type StatisticalTheorems.
- Basu's_theorem type Theorem106752293.
- Basu's_theorem comment "In statistics, Basu's theorem states that any boundedly complete sufficient statistic is independent of any ancillary statistic.".
- Basu's_theorem label "Basu's theorem".
- Basu's_theorem sameAs m.026dr3w.
- Basu's_theorem sameAs Q791258.
- Basu's_theorem sameAs Q791258.
- Basu's_theorem sameAs Basu's_theorem.
- Basu's_theorem wasDerivedFrom Basu's_theorem?oldid=603973893.
- Basu's_theorem isPrimaryTopicOf Basu's_theorem.