scholarly journals An Extended Generalized Power Lindley Distribution

2017 ◽  
Vol 9 (1) ◽  
pp. 1-10
Author(s):  
A. Amin Essam ◽  
M.M. Mansour
Keyword(s):  
Lindley Distribution ◽  
Power Lindley Distribution

scholarly journals An Extended Power Lindley Distribution and its Application

2016 ◽  
Vol 11 (2) ◽  
pp. 1075-1094
Author(s):  
Ibrahim Elbatal ◽  
Yehia Mousa El Gebaly ◽  
Essam Ali Amin
Keyword(s):  
Lindley Distribution ◽  
Power Lindley Distribution ◽  
Extended Power

The odd log-logistic Marshall-Olkin power Lindley Distribution: Properties and applications

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

scholarly journals Acceptance Sampling Plans for Finite and Infinite Lot Size under Power Lindley Distribution

Symmetry ◽  
2018 ◽  
Vol 10 (10) ◽  
pp. 496
Author(s):  
Saman Shahbaz ◽  
Khushnoor Khan ◽  
Muhammad Shahbaz
Keyword(s):  
Operating Characteristic ◽  
Acceptance Sampling ◽  
Lot Size ◽  
Characteristic Curves ◽  
Sampling Plans ◽  
Lindley Distribution ◽  
Product Life ◽  
Power Lindley Distribution ◽  
Acceptance Sampling Plans ◽  
Lot Sizes

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.

scholarly journals Exponentiated power Lindley distribution

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

scholarly journals Estimation of Stress Strength Reliability in Single Component Models for Different Distributions

2019 ◽  
pp. 1-10
Author(s):  
Nafeesa Bashir ◽  
Raeesa Bashir ◽  
T. R. Jan ◽  
Shakeel A. Mir
Keyword(s):  
Likelihood Estimation ◽  
Inverse Power ◽  
Reliability Parameter ◽  
Strength Parameters ◽  
Lindley Distribution ◽  
Power Lindley Distribution ◽  
Method Of Maximum Likelihood ◽  
R Programming ◽  
Component Models ◽  
Inverse Lindley Distribution

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.

scholarly journals The exponentiated generalized power Lindley distribution: Properties and applications

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

scholarly journals Marshall-Olkin extended inverse power Lindley distribution with applications

2018 ◽  
Author(s):  
Rafif Hibatullah ◽  
Yekti Widyaningsih ◽  
Sarini Abdullah
Keyword(s):  
Inverse Power ◽  
Lindley Distribution ◽  
Power Lindley Distribution
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