Sampling Plan for Lab Extracted Beverages Data with Multiple Dependent States Using the Odd Log-Logistic Distribution

Authors

Arnold Kabyemela Fulment, Department of Mathematics and Statistics, College of Natural and Mathematical Sciences, 338 Dodoma, The University of Dodoma, TanzaniaFollow
Gadde Srinivasa Rao, Department of Mathematics and Statistics, College of Natural and Mathematical Sciences, 338 Dodoma, The University of Dodoma, TanzaniaFollow
Josephat Kirigiti Peter, Department of Mathematics and Statistics, College of Natural and Mathematical Sciences, 338 Dodoma, The University of Dodoma, TanzaniaFollow

Author Country (or Countries)

Tanzania

Abstract

In this paper, we propose a Multiple Dependent State Sampling (MDSS) plan for decision-making on lot acceptance/rejection based on properties of current and preceding lots sampled. The plan uses the Odd Log-Logistic Generalized Exponentiated (OLLGE) distribution to determine the median life of the product through a truncated-time life test. Optimal parameters such as sample size, acceptance/rejection numbers, and preceding lots are obtained using the operating characteristic curve (OC-curve). The plan’s performance is compared to that of single sampling (SS) plans using Lab Extracted Beverages data sets on carbon dioxide pressure (MPa).

Digital Object Identifier (DOI)

https://dx.doi.org/10.18576/jsap/130111

Recommended Citation

Kabyemela Fulment, Arnold; Srinivasa Rao, Gadde; and Kirigiti Peter, Josephat (2024) "Sampling Plan for Lab Extracted Beverages Data with Multiple Dependent States Using the Odd Log-Logistic Distribution," Journal of Statistics Applications & Probability: Vol. 13: Iss. 1, Article 11.
DOI: https://dx.doi.org/10.18576/jsap/130111
Available at: https://digitalcommons.aaru.edu.jo/jsap/vol13/iss1/11