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頁籤選單縮合
題 名 | Sequential Sampling Plans of the Dependent Stochastic Process=相依隨機過程之序列抽樣計劃 |
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作 者 | Kim,Won Kyung; | 書刊名 | 工業工程學刊 |
卷 期 | 21:1 2004.01[民93.01] |
頁 次 | 頁75-81 |
分類號 | 494.56 |
關鍵詞 | 序列式; 抽樣計劃; 相依的; 隨機過程; Sequential; Sampling plan; Dependent; Stochastic process; |
語 文 | 英文(English) |
中文摘要 | 本研究處理在樣本非獨立的情況下之相關序列允收抽樣計劃。此抽樣計劃在生產品質隨製造過程會呈現序列相依時具有效果。當某一批產品之允收或棄卻機率因相依性而無法求得時,吾人使用蒙地卡羅模擬方法進行預估。本研究提出相關的效度檢驗並以馬可夫相依模式建立數值例。 |
英文摘要 | In this paper, correlated sequential acceptance sampling plans are dealt when the relationship between samples are not independent. This plan is useful when the production quality shows serially correlated dependencies during the manufacturing processes. A Monte-Calro simulation method is used if we can not find the acceptance or rejection probabilities of a lot because of the dependence between observations. The measure of performances is proposed. As a numerical example, a Markov dependent model is shown. |
本系統中英文摘要資訊取自各篇刊載內容。