The Lifetime Performance Index of Power Lomax Distribution Based on Progressive First-Failure Censoring Scheme

2018 ◽  
Vol 7 (2) ◽  
pp. 333-341
Author(s):  
W. A. Hassanein
Keyword(s):  
Performance Index ◽  
Lomax Distribution ◽  
Lifetime Performance ◽  
Censoring Scheme

Statistical inference of the lifetime performance index for Lindley distribution under progressive first-failure censoring scheme applied to HPLC data

2018 ◽  
Vol 11 (05) ◽  
pp. 1850073 ◽  
Author(s):  
W. A. Hassanein
Keyword(s):  
Statistical Inference ◽  
Performance Index ◽  
Organ Transplant ◽  
Real Life ◽  
Organ Transplant Recipient ◽  
Lindley Distribution ◽  
Lifetime Performance ◽  
Censored Sample ◽  
Censoring Scheme ◽  
Hplc Data

This paper is devoted to the construct of the maximum likelihood estimator of the lifetime performance index based on first-failure progressive right type II censored sample for Lindley distribution. Statistical inference for assessing the lifetime performance of the items is performed. Finally, two examples are given, one of them considers a real life application of blood samples from organ transplant recipient using the liquid chromatography (HPLC) data and the other is a simulated example to illustrate the proposed statistical procedure.

Inferences of the Lifetime Performance Index with Lomax Distribution Based on Progressive Type-II Censored Data

2014 ◽  
Vol 29 (1) ◽  
Author(s):  
Mohamed Abdul Wahab Mahmoud ◽  
Rashad Mohamed El-Sagheer ◽  
Ahmed Abo-Elmagd Soliman ◽  
Ahmed Hamed Abd Ellah
Keyword(s):  
Censored Data ◽  
Performance Index ◽  
Type Ii ◽  
Lomax Distribution ◽  
Lifetime Performance ◽  
Progressive Type ◽  
Type Ii Censored Data

scholarly journals Hybrid censoring samples in assessment the lifetime performance index of Chen distributed products

Open Physics ◽  
2019 ◽  
Vol 17 (1) ◽  
pp. 607-616
Author(s):  
Majdah Mohammed Badr ◽  
Ahmed Ibrahim Shawky ◽  
Gamal Amen Abd-Elmougod
Keyword(s):  
Monte Carlo Simulation ◽  
Performance Index ◽  
Shape Parameters ◽  
Monte Carlo Simulation Study ◽  
Specification Limit ◽  
Hybrid Censoring ◽  
Lifetime Performance ◽  
Lower Specification Limit ◽  
Censoring Scheme ◽  
Theoretical Results

Abstract The performance and potential of a process of industrial products is assessed under lower specification limit L by lifetime performance index (CL). In this paper, under consideration the independent lifetimes Chen products with known one shape parameters the CL of the performance of a process is evaluated. For the hybrid censoring scheme the maximum likelihood (ML) estimate of CL is constructed as well as confidence interval for CL is developing. Also, Bayesian approach is adopted to estimates CL and credibly interval is constructed. Some theoretical results of hypothesis tests of CL is adopted. Finally, our obtaining results will be assessed and compared through Monte Carlo simulation study and numerical example.

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