On the Crack Random Numbers Generation Procedure

Ngamkham, Thuntida

doi:10.1134/s1995080219080201

Lobachevskii J Math

2019

DOI: 10.1134/s1995080219080201

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On the Crack Random Numbers Generation Procedure

Thuntida Ngamkham

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2021

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The Performance of Estimators for Generalization of Crack Distribution

Mamuangbon

Budsaba

Volodin

2021

Wseas Transactions on Mathematics

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In this research, we propose a new four parameter family of distributions called Generalized Crack distribution. We generalizes the family three parameter Crack distribution. The Generalized Crack distribution is a mixture of two parameter Inverse Gaussian distribution, Length-Biased Inverse Gaussian distribution, Twice Length-Biased Inverse Gaussian distribution, and adding one more weight parameter . It is a special case for , where and is the weighted parameter. We investigate the properties of Generalized Crack distribution including first four moments, parameters estimation by using the maximum likelihood estimators and method of moment estimation. Evaluate the performance of the estimators by using bias. The results of simulation are presented in numerically and graphically.

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The Performance of Estimators for Generalization of Crack Distribution

Mamuangbon

Budsaba

Volodin

2021

Wseas Transactions on Mathematics

View full text Add to dashboard Cite

show abstract

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On the Crack Random Numbers Generation Procedure

Cited by 1 publication

References 39 publications

The Performance of Estimators for Generalization of Crack Distribution

The Performance of Estimators for Generalization of Crack Distribution

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