Bayesian Variables Acceptance-Sampling Plans: Quadratic Loss Function and Step-Loss Function

Technometrics ◽  
1992 ◽  
Vol 34 (3) ◽  
pp. 340 ◽  
Author(s):  
Herbert Moskowitz ◽  
Kwei Tang
Keyword(s):  
Loss Function ◽  
Acceptance Sampling ◽  
Quadratic Loss ◽  
Sampling Plans ◽  
Quadratic Loss Function ◽  
Acceptance Sampling Plans

An Economic Design of Rectifying Double Acceptance Sampling Plans via Maxima Nomination Sampling

2017 ◽  
Vol 32 (2) ◽  
Author(s):  
Mansooreh Razmkhah ◽  
Bahram Sadeghpour Gildeh ◽  
Jafar Ahmadi
Keyword(s):  
Loss Function ◽  
High Performance ◽  
High Sensitivity ◽  
Simple Random Sampling ◽  
Quality Characteristics ◽  
Total Loss ◽  
Acceptance Sampling ◽  
Sampling Plans ◽  
Acceptance Sampling Plans ◽  
The One

AbstractIn industry when a lot of items is sent for inspection, double acceptance sampling plans (DASP) are considered as a way to decide on acceptance or rejection of the lot. If the lot contains items with high sensitivity, then the measuring of quality characteristics is destructive or costly. So we are looking for a method to decide that it has high performance. Using the ranked set sampling (RSS) method will make it stricter and more accurate whether or not to accept a lot. Moreover, it is affordable and will not burden extra costs on the buyer or the producer. In this paper, by using a special type of RSS, with the name of maxima nomination sampling (MNS), we design a DASP with regards to the total loss function. The results indicate that the total loss function, which is acquired by the MNS method, has lower values than the one using the simple random sampling (SRS) method.

New Acceptance Sampling Plans Based on Percentiles for Exponentiated Fréchet Distribution

2016 ◽  
Vol 31 (1) ◽  
Author(s):  
Gadde Srinivasa Rao ◽  
Kanaparthi Rosaiah ◽  
Mothukuri Sridhar Babu ◽  
Devireddy Charanaudaya Sivakumar
Keyword(s):  
Operating Characteristic ◽  
Real Data ◽  
Acceptance Sampling ◽  
Producer’S Risk ◽  
Data Set ◽  
Sampling Plans ◽  
Fréchet Distribution ◽  
Acceptance Sampling Plans ◽  
Characteristic Values ◽  
Frechet Distribution

AbstractIn this article, acceptance sampling plans are developed for the exponentiated Fréchet distribution based on percentiles when the life test is truncated at a pre-specified time. The minimum sample size necessary to ensure the specified life percentile is obtained under a given customer's risk and producer's risk simultaneously. The operating characteristic values of the sampling plans are presented. One example with real data set is also given as an illustration.

ACCEPTANCE SAMPLING PLANS FOR PERCENTILES OF GUMBEL DISTRIBUTION

2021 ◽  
Vol 62 (2) ◽  
pp. 113-130
Author(s):  
B. Srinivas Rao ◽  
C. Chinnamamba ◽  
K. Rosaiah
Keyword(s):  
Gumbel Distribution ◽  
Acceptance Sampling ◽  
Sampling Plans ◽  
Acceptance Sampling Plans
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