On discrete weighted distributions and their use in model choice for observed data

This paper provides a brief structural perspective of discrete weighted distributions in theory and practice.. It develops a unified view of previous work involving univariate and bivariate models with some new results pertaining to mixtures, form-invariance and Bayesian inference

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Veröffentlicht in:	Communications in statistics. Theory and methods 1986-01, Vol.15 (3), p.907-918
Hauptverfasser:	Patil, G.P, Rao, C. R., Ratnaparkhi, M. V
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayesian inference bivariate Poisson-negative hyper geometric distribution bivariate weighted distributions Discrete weighted distributions Distribution theory Exact sciences and technology form in variance Mathematics Mixtures model specification posterior and weighted posterior distributions Probability and statistics Sciences and techniques of general use size biased distributions Statistics stochastic ordering weight functions
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Zusammenfassung:	This paper provides a brief structural perspective of discrete weighted distributions in theory and practice.. It develops a unified view of previous work involving univariate and bivariate models with some new results pertaining to mixtures, form-invariance and Bayesian inference
ISSN:	0361-0926 1532-415X
DOI:	10.1080/03610928608829159