scholarly journals Sine Power Lindley Distribution with Applications

2022 ◽  
Vol 31 (1) ◽  
pp. 373-386
Author(s):  
Abdullah M. Almarashi
2016 ◽  
Vol 11 (2) ◽  
pp. 1075-1094
Author(s):  
Ibrahim Elbatal ◽  
Yehia Mousa El Gebaly ◽  
Essam Ali Amin

2017 ◽  
Vol 20 (6) ◽  
pp. 1065-1093 ◽  
Author(s):  
Morad Alizadeh ◽  
S. M. T. K MirMostafaee ◽  
Emrah Altun ◽  
Gamze Ozel ◽  
Maryam Khan Ahmadi

Symmetry ◽  
2018 ◽  
Vol 10 (10) ◽  
pp. 496
Author(s):  
Saman Shahbaz ◽  
Khushnoor Khan ◽  
Muhammad Shahbaz

In this paper, we have developed single and double acceptance sampling plans when the product life length follows the power Lindley distribution. The sampling plans have been developed by assuming infinite and finite lot sizes. We have obtained the operating characteristic curves for the resultant sampling plans. The sampling plans have been obtained for various values of the parameters. It has been found that for a finite lot size, the sampling plans provide smaller values of the parameters to achieve the specified acceptance probabilities.


2015 ◽  
Vol 6 (6) ◽  
pp. 895-905 ◽  
Author(s):  
Samir K. Ashour ◽  
Mahmoud A. Eltehiwy

Author(s):  
Nafeesa Bashir ◽  
Raeesa Bashir ◽  
T. R. Jan ◽  
Shakeel A. Mir

This paper aims to estimate the stress-strength reliability parameter R = P(Y < X), considering the two different cases of stress strength parameters, when the strength ‘X’ follows exponentiated inverse power Lindley distribution ,extended inverse Lindley and Stress ‘Y’ follows inverse power Lindley distribution and inverse Lindley distribution. The method of maximum likelihood estimation is used to obtain the reliability estimators. Illustrations are provided using R programming.


2019 ◽  
Vol 34 (2) ◽  
pp. 127-148 ◽  
Author(s):  
S.M.T.K. MirMostafaee ◽  
Morad Alizadeh ◽  
Emrah Altun ◽  
Saralees Nadarajah

2018 ◽  
Author(s):  
Rafif Hibatullah ◽  
Yekti Widyaningsih ◽  
Sarini Abdullah

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