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Seshadri, V. A Characterization of the Normal andWeibull Distributions. Canadian mathematical bulletin, Tome 12 (1969) no. 3, pp. 257-260. doi: 10.4153/CMB-1969-031-2
@article{10_4153_CMB_1969_031_2,
author = {Seshadri, V.},
title = {A {Characterization} of the {Normal} {andWeibull} {Distributions}},
journal = {Canadian mathematical bulletin},
pages = {257--260},
year = {1969},
volume = {12},
number = {3},
doi = {10.4153/CMB-1969-031-2},
url = {http://geodesic.mathdoc.fr/articles/10.4153/CMB-1969-031-2/}
}
[1] 1. Kawata, T. and Sakamoto, H., On the characterization of the normal distribution by the independence of the sample mean and the sample variance. J. Math. Soc. Japan 1 (1949) 111–115. Google Scholar
[2] 2. Laha, R. G., An example of a non-normal distribution where the quotient follows the Cauchy law. Proc. Nat. Acad. Sci. U.S.A. 44 (1958) 222–223. Google Scholar
[3] 3. Laha, R. G., On the laws of Cauchy and Gauss. Ann. Math. Stat. 30 (1959) 1165–1174. Google Scholar
[4] 4. Laha, R. G., On a class of distribution functions where the quotient follows the Cauchy law. Trans. Amer. Math. Soc. 93 (1959) 205–215. Google Scholar
[5] 5. Laha, R. G., Lukacs, E., and Newman, M., On the independence of a sample central moment and the sample mean. Ann. Math. Stat. 31 (1960) 1028–1033. Google Scholar
[6] 6. Lukacs, E., A characterization of the normal distribution. Ann. Math. Stat. 13 (1942) 91–93. Google Scholar
[7] 7. Lukacs, E., A characterization of the gamma distribution. Ann. Math. Stat. 26 (1955) 319–324. Google Scholar
[8] 8. Lukacs, E., The stochastic independence of symmetric and homogeneous linear and quadratic statistics. Ann. Math. Stat. 23 (1952) 442–449. Google Scholar
[9] 9. Mauldon, J. G., Characterizing properties of statistical distributions. Quart. J. Math. Oxford Ser. (2) 7 (1956) 155–160. Google Scholar
[10] 10. Steck, G. P., A uniqueness property not enjoyed by the normal distribution. Ann. Math. Stat. 31 (1958) 1028–1033. Google Scholar
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