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• W3136246002 abstract "Parameter estimation for the skew-normal distribution is challenging, since the profile likelihood function of shape parameter has a stationary point at zero, which hampers the use of traditional methods, such as maximum likelihood method. We present a modified empirical characteristic function method to perform parameter estimation for the skew-normal distribution. The proposed approach is flexible and easy to implement. We show that the estimators converge to the true values in probability. The simulation study and data analysis suggest that the proposed method performs well, even for the case of small sample size." @default.
• W3136246002 created "2021-03-29" @default.
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• W3136246002 date "2021-03-15" @default.
• W3136246002 modified "2023-09-26" @default.
• W3136246002 title "Parameter estimation for univariate Skew-Normal distribution based on the modified empirical characteristic function" @default.
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• W3136246002 doi "https://doi.org/10.1080/03610926.2021.1883655" @default.
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