A New Acceptance Sampling Plans Based on Percentiles For Type II Generalized Half-logistic Distribution

2019 ◽  
Vol 10 (6) ◽  
pp. 1354-1363
Author(s):  
G Srinivasa Rao ◽  
Sd. Jilani ◽  
A Vasudeva Rao ◽  
S. Bhanu Prakash
Keyword(s):  
Logistic Distribution ◽  
Acceptance Sampling ◽  
Type Ii ◽  
Sampling Plans ◽  
Acceptance Sampling Plans

scholarly journals A New Acceptance Sampling Plans Based on Percentiles for Odds Exponential Log Logistic Distribution

2016 ◽  
Vol 7 (1) ◽  
pp. 45-52 ◽  
Author(s):  
G.S. Rao ◽  
K. Rosaiah ◽  
K. Kalyani ◽  
D.C.U. Sivakumar
Keyword(s):  
Operating Characteristic ◽  
Real Data ◽  
Logistic Distribution ◽  
Acceptance Sampling ◽  
Producer’S Risk ◽  
Data Set ◽  
Sampling Plans ◽  
Acceptance Sampling Plans ◽  
Characteristic Values ◽  
Predetermined Time

In this paper, acceptance sampling plans are developed for the odds exponential log logistic distribution (OELLD) introduced by Rosaiah et al. [1] based on lifetime percentiles when the life test is truncated at a predetermined time. The minimum sample size necessary to ensure the specified lifetime percentile is obtained under a given customer’s risk. The operating characteristic values of the sampling plans as well as the producer’s risk are presented. One example with real data set is also given as an illustration.

ACCEPTANCE SAMPLING PLANS FOR PERCENTILES OF HALF LOGISTIC DISTRIBUTION

2013 ◽  
Vol 20 (05) ◽  
pp. 1350016 ◽  
Author(s):  
B. SRINIVASA RAO ◽  
R. R. L. KANTAM
Keyword(s):  
Sample Size ◽  
Operating Characteristic ◽  
Logistic Distribution ◽  
Acceptance Sampling ◽  
Minimum Sample Size ◽  
Life Test ◽  
Sampling Plans ◽  
Acceptance Sampling Plans ◽  
Characteristic Values ◽  
Minimum Sample

In this article, acceptance sampling plans are developed for the half logistic distribution 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 consumerś risk. The operating characteristic values of the sampling plans as well as the producerś risk are presented.

scholarly journals Group acceptance sampling plans for lifetimes following an odds exponential log logistic distribution

2016 ◽  
Vol 17 (3) ◽  
pp. 201
Author(s):  
Rosaiah Kanaparthi ◽  
Gadde Srinivasa Rao ◽  
Kruthiventi Kalyani ◽  
Devireddy Charana Udaya Sivakumar
Keyword(s):  
Logistic Distribution ◽  
Acceptance Sampling ◽  
Sampling Plans ◽  
Acceptance Sampling Plans ◽  
Group Acceptance

scholarly journals Odd generalized exponential log logistic distribution: A new acceptance sampling plans based on percentiles

2019 ◽  
Vol 8 (3) ◽  
pp. 176
Author(s):  
Srinivasa Rao Gadde ◽  
K. Rosaiah ◽  
D. C. U. Sivakumar ◽  
K. Kalyani
Keyword(s):  
Operating Characteristic ◽  
Real Data ◽  
Logistic Distribution ◽  
Acceptance Sampling ◽  
Consumer’S Risk ◽  
Producer’S Risk ◽  
Data Set ◽  
Sampling Plans ◽  
Acceptance Sampling Plans ◽  
Characteristic Values

<span>In this paper, acceptance sampling plans are developed for the odd generalized exponential log logistic distribution based on percentiles when the life test is truncated at a pre-specified (pre-determined) time. The minimum sample size necessary to ensure the specified life percentile is obtained under a given consumer’s risk. The operating characteristic values of the sampling plans as well as the producer’s risk are presented. One example with real data set is also given as an illustration.</span>

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