Generalization of two-sided length biased inverse gaussian distributions and applications

HIGHLIGHTS

• who: Teerawat Simmachan and Wikanda Phaphan from the Department of Mathematics and Statistics, Faculty of Science and Technology, Thammasat University, Pathum Thani, Thailand have published the research: Generalization of Two-Sided Length Biased Inverse Gaussian Distributions and Applications, in the Journal: Symmetry 2022, 14, 1965. of /2022/
• what: In this work a new class of length-biased distribution namely the two-sided length-biased inverse Gaussian distribution (TS-LBIG) was introduced. In this article, a new form of the TS-LBIG distribution is introduced, since the original version offered by Simmachan et_al does not present . . .
  

   

  

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