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  • 标题:Bimodal extension based on the skew-$t$-normal distribution
  • 本地全文:下载
  • 作者:Mehdi Amiri ; Héctor W. Gómez ; Ahad Jamalizadeh
  • 期刊名称:Brazilian Journal of Probability and Statistics
  • 印刷版ISSN:0103-0752
  • 出版年度:2019
  • 卷号:33
  • 期号:1
  • 页码:2-23
  • DOI:10.1214/17-BJPS372
  • 语种:English
  • 出版社:Brazilian Statistical Association
  • 摘要:In this paper, a skew and uni-/bi-modal extension of the Student-$t$ distribution is considered. This model is more flexible and has wider ranges of skewness and kurtosis than the other skew distributions in literature. Fisher information matrix for the proposed model and some submodels are derived. With a simulation study and some real data sets, applicability of the proposed models are illustrated.
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