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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/87687

    Title: 在逐步型I區間設限下對單參數柏拉圖分配的壽命績效指標之檢定程序
    Other Titles: A testing procedure for the lifetime performance index of products with one-parameter pareto distribution under progressive type I interval censoring
    Authors: 盧錦洋;Lu, Jin-Yang
    Contributors: 淡江大學統計學系碩士班
    吳淑妃;Wu, Shu-Fei
    Keywords: 逐步型I區間設限;柏拉圖分配;最大概似估計量;製程能力指標;檢定程序;progressive type I interval censored;one-parameter pareto distribution;Maximum Likelihood Estimator;Process Capability Index;testing procedure
    Date: 2012
    Issue Date: 2013-04-13 11:32:52 (UTC+8)
    Abstract: 近年來,由於科技的進步,許多高科技產品像是電腦,手機等等,使得消費者對於產品品質要求更加嚴格,在實務上,已經發展了很多種方法來評估產品的品質能力,製程能力指標(process capability indices, PCIs)就是其中一種方法。
    In recent years, consumers are in the pursuit of more stringent product quality requirements for many high-tech products such as computers, mobile phones, etc. In practice, many researchers have developed a variety of methods to assess the quality of the product and the method of process capability indices (PCIs) is one of them.
    Process capability indices had been widely used to evaluate the process performance to the continuous improvement of quality and productivity. When the lifetime of products possesses a one-parameter pareto distribution, the larger-the-better lifetime performance index is considered. The maximum likelihood estimator is used to estimate the lifetime performance index based on the progressive type I interval censored sample. The asymptotic distribution of this estimator is also investigated. We use this estimator to develop the new hypothesis testing algorithmic procedure in the condition of known lower specification limit. Finally, two practical examples are given to illustrate the use of this testing algorithmic procedure to determine whether the process is capable.
    Appears in Collections:[統計學系暨研究所] 學位論文

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