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%3CLINGO-SUB%20id%3D%22lingo-sub-239839%22%20slang%3D%22en-US%22%20mode%3D%22UPDATE%22%3EB-expect%20tolerance%20limit%20for%20ANOVA%3C%2FLINGO-SUB%3E%3CLINGO-BODY%20id%3D%22lingo-body-239839%22%20slang%3D%22en-US%22%20mode%3D%22UPDATE%22%3E%3CP%3E%3CSPAN%3ETwo%20kinds%20of%20statistical%20tolerance%20intervals%20exist.%20First%2C%20beta-expectation%20tolerance%20interval%20is%20a%20statistical%20interval%20within%20which%20a%20specified%20proportion%20(beta)%20of%20the%20population%20is%20expected%20to%20fall.%20The%20second%20kind%20is%20the%20beta-content%20gamma-confidence%20tolerance%20interval%20that%20is%20an%20interval%20within%20which%20a%20beta%20proportion%20of%20the%20population%20fall%2C%20with%20the%20confidence%20level%20gamma.%20Those%20intervals%20are%20widely%20used%20in%20the%20pharmaceutical%20industry.%3C%2FSPAN%3E%3C%2FP%3E%3C%2FLINGO-BODY%3E%3CLINGO-LABS%20id%3D%22lingo-labs-239839%22%20slang%3D%22en-US%22%20mode%3D%22UPDATE%22%3E%3CLINGO-LABEL%3EBasic%20Data%20Analysis%20and%20Modeling%3C%2FLINGO-LABEL%3E%3CLINGO-LABEL%3EContent%20Organization%3C%2FLINGO-LABEL%3E%3C%2FLINGO-LABS%3E%3CLINGO-SUB%20id%3D%22lingo-sub-560838%22%20slang%3D%22en-US%22%20mode%3D%22NONE%22%3ERe%3A%20B-expect%20tolerance%20limit%20for%20ANOVA%20-%20Status%20changed%20to%3A%20Archived%3C%2FLINGO-SUB%3E%3CLINGO-BODY%20id%3D%22lingo-body-560838%22%20slang%3D%22en-US%22%20mode%3D%22NONE%22%3EWe%20are%20archiving%20this%20request.%20If%20this%20is%20still%20important%20please%20comment%20with%20additional%20details%20and%20we%20will%20reopen.%20Thank%20you!%3C%2FLINGO-BODY%3E
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B-expect tolerance limit for ANOVA

Two kinds of statistical tolerance intervals exist. First, beta-expectation tolerance interval is a statistical interval within which a specified proportion (beta) of the population is expected to fall. The second kind is the beta-content gamma-confidence tolerance interval that is an interval within which a beta proportion of the population fall, with the confidence level gamma. Those intervals are widely used in the pharmaceutical industry.

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Ryan_Gilmore
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