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Transformed beta distribution and its application in distribution fitting

Conference ·
OSTI ID:6839208
We consider the transformation Y = ..cap alpha.. + ..beta..(X/sup ..gamma../ - (1 - X) /sup delta/), - infinity < ..cap alpha.., ..beta..,..gamma..,delta < infinity, on the beta variate X which has the p.d.f. f(x) = x/sup p-1/(1 - x)/sup q-1//B (p, q), 0 less than or equal to x less than or equal to 1, where B(p, q) is the beta function. This family includes a number of well-known distribution functions, one of them is the generalized Tukey's lambda distribution. Using this family of distributions as base, moment models are constructed for the theoretical distribution of sample statistics. Significance of these models is: Producing the correct range in the distribution of the statistics, consistent with the asymptotic normality of the statistics, and in some models higher order standard moments up to ..beta../sub 4/ are used.
Research Organization:
Union Carbide Corp., Oak Ridge, TN (USA). Nuclear Div.; Chinese Univ. of Hong Kong, Shatin. Mathematics Dept.; Georgia Univ., Athens (USA). Office of Computing and Information Service
DOE Contract Number:
W-7405-ENG-26
OSTI ID:
6839208
Report Number(s):
CONF-810842-6; ON: DE82020918
Country of Publication:
United States
Language:
English

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