Browsing by Author "Fulment, Arnold Kabyemela"

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    Multiple dependent state repetitive sampling plan odd log-logistic generalized exponential distribution with application to beverage product’s carbon dioxide pressure and concentration
    (Springer Science and Business Media LLC, 2024) Fulment, Arnold Kabyemela; Rao, Gadde Srinivasa; Peter, Josephat Kirigiti
    A multiple dependent state repetitive sampling plan (MDSRSP), applied in beverage product’s carbon dioxide pressure and level of Carbon dioxide concentration as quality characteristic which in return follows odd log-logistic generalized exponential distribution (OLLGED). The plan’s parametric optimal values are so obtained by the average sample number that is minimized, consecutively satisfying the risks for both producer and consumer at their corresponding levels of quality (AQL and LQL). In performance comparison the existing sapling plans such as Multiple dependent state sampling (MDSS) and single sampling (SS) plans, are compared with the proposed MDSRS plan on the bases of optimal sample size for rejection or acceptance decision, further comparison is done using the curve for operating characteristics (COC) on the probability of acceptance of the lot.
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    Multiple dependent state repetitive sampling plan odd log-logistic generalized exponential distribution with application to beverage product’s carbon dioxide pressure and concentration
    (Springer Science and Business Media LLC, 2024) Fulment, Arnold Kabyemela; Rao, Gadde Srinivasa; Peter, Josephat Kirigiti
    A multiple dependent state repetitive sampling plan (MDSRSP), applied in beverage product’s carbon dioxide pressure and level of Carbon dioxide concentration as quality characteristic which in return follows odd log-logistic generalized exponential distribution (OLLGED). The plan’s parametric optimal values are so obtained by the average sample number that is minimized, consecutively satisfying the risks for both producer and consumer at their corresponding levels of quality (AQL and LQL). In performance comparison the existing sapling plans such as Multiple dependent state sampling (MDSS) and single sampling (SS) plans, are compared with the proposed MDSRS plan on the bases of optimal sample size for rejection or acceptance decision, further comparison is done using the curve for operating characteristics (COC) on the probability of acceptance of the lot.