Double Acceptance Sampling Plan for Time Truncated Life Tests Based on Transmuted Generalized Inverse Weibull Distribution

2017 ◽  
Vol 6 (1) ◽  
pp. 1-6 ◽  
Author(s):  
Amer Ibrahim Al-Omari ◽  
Ehsan Zamanzade
2017 ◽  
Vol 32 (1) ◽  
Author(s):  
Amer I. Al-Omari ◽  
Amjad D. Al-Nasser ◽  
Fatima Gogah ◽  
Muhammad A. Haq

AbstractA double acceptance sampling plan (DASP) based on truncated life tests is suggested in this paper when the lifetime of a product follows the exponentiated generalized inverse Rayleigh distribution (EGIR). For a fixed value of the consumer’s confidence level, the minimum sample sizes of the first and second samples needed to ensure the specified mean life are obtained. The operating characteristic values according to the different quality levels are obtained and the minimum ratios of the mean life to the specified life are calculated. The important tables based on the suggested DASP are calculated and illustrated.


Author(s):  
M. Kumar ◽  
P. N. Bajeel ◽  
P. C. Ramyamol

In this paper, constant–stress partially accelerated life tests (PALT) are considered for a product with the assumption that the lifetime of the product follows Weibull distribution with known shape parameter and unknown scale parameter. Based on data obtained using Type-II censoring, the maximum likelihood estimates (MLEs) of the Weibull parameters and acceleration factor are obtained assuming linear and Arrhenius relationships with the lifetime characteristics and stress. Exact distributions of the MLEs of the parameters of Weibull distribution are also obtained. Optimal acceptance sampling plans are developed using both linear and Arrhenius relationships. Some numerical results are also presented to illustrate the resulted test plans.


2012 ◽  
Vol 29 (6) ◽  
pp. 427-433 ◽  
Author(s):  
Muhammad Aslam ◽  
Muhammad Azam ◽  
Saminathan Balamurali ◽  
Chi-Hyuck Jun

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Wenhao Gui ◽  
Shangli Zhang

An acceptance sampling plan for Gompertz distribution under a truncated life test is developed. For different acceptance numbers, consumer’s confidence levels and values of the ratio of the experimental time to the specified mean lifetime, the minimum sample sizes required to ensure the specified mean lifetime are obtained. The operating characteristic function values and the associated producer’s risks are also presented. An example is provided to illustrate the acceptance sampling plan.


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