Some characterizations based on the Bhattacharya matrix
Laha and Lukacs (1960) have studied distributions with the property that a quadratic statistic has quadratic regression on the sample mean. In doing this, they have arrived at some interesting characterizations for the normal, Poisson, gamma, binomial and negative binomial distributions. Starting wi...
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Veröffentlicht in: | Journal of applied probability 1972-09, Vol.9 (3), p.580-587 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Laha and Lukacs (1960) have studied distributions with the property that a quadratic statistic has quadratic regression on the sample mean. In doing this, they have arrived at some interesting characterizations for the normal, Poisson, gamma, binomial and negative binomial distributions. Starting with an exponential-type probability density function, the present paper investigates all the distributions for which the 3 × 3 Bhattacharya matrix is diagonal. It is found that the normal, Poisson, gamma, binomial and negative binomial distributions can be characterized by this property. Further, it is observed that for these distributions an s × s Bhattacharya matrix is defined for all s and is also diagonal. |
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ISSN: | 0021-9002 1475-6072 |
DOI: | 10.2307/3212327 |