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A Reliability Sampling Plan Based on Progressive Interval Censoring Under Pareto Distribution of Second Kind
Author(s) -
Muhammad Aslam,
Syuan-Rong Huang,
Hyuck-Jun Chi,
Munir Ahmad,
Mujahid Rasool
Publication year - 2011
Publication title -
industrial engineering and management systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.168
H-Index - 12
eISSN - 2234-6473
pISSN - 1598-7248
DOI - 10.7232/iems.2011.10.2.154
Subject(s) - censoring (clinical trials) , estimator , lomax distribution , pareto principle , statistics , pareto distribution , pareto interpolation , acceptance sampling , mathematics , reliability (semiconductor) , interval (graph theory) , econometrics , generalized pareto distribution , combinatorics , extreme value theory , power (physics) , physics , quantum mechanics
In this paper, a reliability sampling plan under progressively type-1 interval censoring is proposed when the lifetime of products follows the Pareto distribution of second kind. We use the maximum likelihood estimator for the median life and its asymptotic distribution. The cost model is proposed and the design parameters are determined such that the given producer's and the consumer's risks are satisfied. Tables are given and the results are explained with examples.

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