Time truncated double acceptance sampling plan for the Nadarajah-Haghighi distribution

In this article, we design a double acceptance sampling plan for the Nadarajah-Haghighi (NH) distribution when the lifetime is truncated. The minimum sample sizes necessary to ensure a certain mean lifetime for selected acceptance numbers and consumer's confidence levels are obtained. The operating characteristic function and the associated producer's risks are studied. We also analyze the minimum ratios of the mean life to the specified life. Real data and simulated examples are provided to illustrate the results of the paper.

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Publication Details

Journal
Statistics Optimization & Information Computing
Published
2024-08-04
DOI
https://doi.org/10.19139/soic-2310-5070-1818
Citations
2
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
Field-Weighted Citation Impact
1.42
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article

Time truncated double acceptance sampling plan for the Nadarajah-Haghighi distribution

Sanku Dey, Mehran Naghizadeh Qomi, Zainalabideen Al-Husseini
2 citations
Statistics Optimization & Information Computing
Statistical Distribution Estimation and Applications
1.42
article

Time truncated double acceptance sampling plan for the Nadarajah-Haghighi distribution

Sanku Dey, Mehran Naghizadeh Qomi, Zainalabideen Al-Husseini
article en
2 citations

Abstract

In this article, we design a double acceptance sampling plan for the Nadarajah-Haghighi (NH) distribution when the lifetime is truncated. The minimum sample sizes necessary to ensure a certain mean lifetime for selected acceptance numbers and consumer's confidence levels are obtained. The operating characteristic function and the associated producer's risks are studied. We also analyze the minimum ratios of the mean life to the specified life. Real data and simulated examples are provided to illustrate the results of the paper.

Statistics Optimization & Information ComputingVol. 13(1)
University of Babylon (IQ), University of Mazandaran (IR)
Openalex Percentile: Top 15%
Statistical Distribution Estimation and Applications
1.42
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