Browsing by Author "Rao, A. Vasudeva"

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    Designing of multiple dependent state repetitive sampling plan for type-II generalized half logistic distribution
    (Springer Nature, 2021) Rao, Gadde Srinivasa; Jilani, S. D.; Rao, A. Vasudeva
    In this article, we present a new multiple dependent state repetitive (MDSR) sampling plan for attributes based on consider Type-II generalized half logistic distribution (TGHLD) with known shape parameter is consider here. The optimal parameter of the proposed plan is used to determine the operating characteristic (OC) curve approach using two point’s method. The results are explained with tables. We have made the comparison of proposed design with the usual multiple dependent state (MDS) sampling plans, repetitive acceptance sampling plan (RASP) and single sampling plan (SSP) in Average Sample Number (ASN). The proposed plan is demonstrated with the help of real- life data.
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    Designing of multiple dependent state repetitive sampling plan for type-II generalized half logistic distribution
    (Springer Science and Business Media LLC, 2021) Rao, Gadde Srinivasa; Jilani, S. D.; Rao, A. Vasudeva
    In this article, we present a new multiple dependent state repetitive (MDSR) sampling plan for attributes based on consider Type-II generalized half logistic distribution (TGHLD) with known shape parameter is consider here. The optimal parameter of the proposed plan is used to determine the operating characteristic (OC) curve approach using two point’s method. The results are explained with tables. We have made the comparison of proposed design with the usual multiple dependent state (MDS) sampling plans, repetitive acceptance sampling plan (RASP) and single sampling plan (SSP) in Average Sample Number (ASN). The proposed plan is demonstrated with the help of real- life data.
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    Designing of multiple dependent state sampling plan for Type-II generalized half logistic distribution
    (Informa UK Limited, 2024) Jilani, Sd.; Rao, Gadde Srinivasa; Rao, A. Vasudeva; Yilun Shang
    In this article, we present a new multiple dependent state repetitive (MDSR) sampling plan for attributes based on consider Type-II generalized half logistic distribution (TGHLD) with known shape parameter is consider here. The optimal parameter of the proposed plan is used to determine the operating characteristic (OC) curve approach using two point’s method. The results are explained with tables. We have made the comparison of proposed design with the usual multiple dependent state (MDS) sampling plans, repetitive acceptance sampling plan (RASP) and single sampling plan (SSP) in Average Sample Number (ASN). The proposed plan is demonstrated with the help of real- life data.
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    Designing of multiple dependent state sampling plan for Type-II generalized half logistic distribution
    (Informa UK Limited, 2024-03-22) Jilani, Sd.; Rao, Gadde Srinivasa; Rao, A. Vasudeva; Yilun Shang
    In this study, we propose the multiple dependent state (MDS) sampling plan for a time truncated life test when the lifetime of product follows the Type-II Generalized Half Logistic Distribution (TGHLD). The quality of the product is considered in terms of percentile lifetime. The optimal plan parameters of the our proposed MDS sampling plan, such as the sample size, the acceptance and rejection numbers, and the number of preceding lots needed for making the decision whether to accept or reject the current lot, are determined using the approach of two points on the operating characteristic curve. Tables are obtained for various values of shape parameter and results are discussed. The real data analysis is given to illustrate the applicability of the proposed in the industry. Comparison is also made with the existing plans.