Article citationsMore>>
Arnold, B. and Beaver, R., Azzalini, A., Balakrishnan, N., Bhaumik, A., Dey, D., Cuadras, C., Sarabia, J., Arnold, B. and Beaver, R. (2002) Skewed Multivariate Models Related to Hidden Truncation and/or Selective Reporting. Test, 11, 7-54.
https://doi.org/10.1007/BF02595728
has been cited by the following article:
-
TITLE:
The Alpha-Beta-Gamma Skew Normal Distribution and Its Application
AUTHORS:
Zhengyuan Wei, Tiankui Peng, Xiaoya Zhou
KEYWORDS:
Skew Distribution, Multimodal Distribution, Alpha-Beta-Gamma Skew Normal Distribution, Fisher Information Matrix
JOURNAL NAME:
Open Journal of Statistics,
Vol.10 No.6,
December
30,
2020
ABSTRACT: In this paper, a new class
of skew multimodal distributions with more flexible than alpha skew normal
distribution and alpha-beta skew normal distribution is proposed, which makes
some important distributions become its special cases. The statistical
properties of the new distribution are studied in detail, its moment generating
function, skewness coefficient, kurtosis coefficient, Fisher information
matrix, maximum likelihood estimators are derived. Moreover, a random
simulation study is carried out for test the performance of the estimators, the
simulation results show that with the increase of sample size, the mean value
of maximum likelihood estimators tends to the true value. The new distribution
family provides a better fit compared with other known skew distributions
through the analysis of a real data set.