2020
DOI: 10.1007/s40745-020-00267-z
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An Application of Time Truncated Single Acceptance Sampling Inspection Plan Based on Generalized Half-Normal Distribution

Abstract: In this paper, we introduce single acceptance sampling inspection plan (SASIP) for transmuted Rayleigh (TR) distribution when the lifetime experiment is truncated at a prefixed time. Establish the proposed plan for different choices of confidence level, acceptance number and ratio of true mean lifetime to specified mean lifetime. Minimum sample size necessary to ensure a certain specified lifetime is obtained. Operating characteristic(OC) values and producer's risk of proposed plan are presented. Two real life… Show more

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Cited by 11 publications
(4 citation statements)
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“…Let P a (p 1 ) and P a (p 2 ) be the probabilities for lot acceptance at p 1 and p 2 obtained using Eqs. ( 19) and (20).…”
Section: Numerical Illustration Of the Economic Design Of An Amdssp F...mentioning
confidence: 99%
See 2 more Smart Citations
“…Let P a (p 1 ) and P a (p 2 ) be the probabilities for lot acceptance at p 1 and p 2 obtained using Eqs. ( 19) and (20).…”
Section: Numerical Illustration Of the Economic Design Of An Amdssp F...mentioning
confidence: 99%
“…( 18) and ( 21) was used to solve this problem subject to Eqs. ( 19), (20) by supposing that α = 0.05, β = 0.05, µ/µ 0 = 8 and N = 25. The result gave optimal parameters for the AMDSS as (n 1 , n 2 , c 1 , c 2 , m) = (8, 3, 2, 4, 1), P a = 0.9556, ASN = 8.4101 and TC = 505.1462.…”
Section: Application Of Real Data (Electronic Device)mentioning
confidence: 99%
See 1 more Smart Citation
“…Malathi and Muthulakshmi [25] developed a zero-one double-acceptance sampling plan based on Marshall-Olkin extended exponential distribution for truncated life tests. Tripathi et al [26] developed an application of time-truncated single-acceptance sampling plan based on generalized halfnormal distribution. Tripathi et al [27] studied double-and group-acceptance sampling plan for truncated life test based on inverse log-logistic distribution.…”
Section: Introductionmentioning
confidence: 99%