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- W2092146582 abstract "Conventionally, it was shown that the underlying distribution is normal if and only if the sample mean and sample variance from a random sample are independent. This paper focusses on the normal population characterization theorem by showing that, if the joint distribution of a skew normal sample follows certain multivariate skew normal distribution, the sample mean and sample variance are still independent." @default.
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- W2092146582 date "2003-01-01" @default.
- W2092146582 modified "2023-09-26" @default.
- W2092146582 title "On the sample characterization criterion for normal distributions" @default.
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- W2092146582 doi "https://doi.org/10.1080/00949650215867" @default.
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