Characterization of the normal distribution by constant regression of quadratic statistics on linear statistics |
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Authors: | B. Gyires |
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Affiliation: | (1) Kossuth Lajos Tudományegyetem Valószínségszámítási És Alkalmazott Matematikai Tanszék, PF. 12, H-4010 Debrecen, Hungary |
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Abstract: | This paper contains applications of theorems of [1] for quadratic statistics which have constant regression on linear statistics. Two theorems are proved. The first is a sufficient condition which assumes that the characteristic function of a sample is an entire function. The second gives a new characterization of the normal distribution. |
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Keywords: | Primary 62E10 Secondary 60E05 |
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