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dc.contributor.author盧信銘en_US
dc.contributor.author彭南夫en_US
dc.date.accessioned2014-12-12T02:47:25Z-
dc.date.available2014-12-12T02:47:25Z-
dc.date.issued2007en_US
dc.identifier.urihttp://140.113.39.130/cdrfb3/record/nctu/#GT009226804en_US
dc.identifier.urihttp://hdl.handle.net/11536/76900-
dc.description.abstract在給定聯合分佈函數之下,對於計算多個相依的正隨機變數合之分佈函數以及機率函數,我們提供一個最佳化的幾何數值方法。這個方法包含對超立方體的積分並估計”半”超立方體的體積。同時我們也提供了數值分析的結果。zh_TW
dc.description.abstractWe present optimal geometric numerical methods for computing the distribution function and the density function of sum of several positive dependent random variables with known joint distribution function. This method involves integration on high dimensional hypercubes and estimating the volume of "half" hypercubes. Numerical results are also presented.en_US
dc.language.isoen_USen_US
dc.subject分佈函數zh_TW
dc.subject正相依隨機變數之合zh_TW
dc.subject超立方體估計zh_TW
dc.subjectDistribution functionen_US
dc.subjectSum of positive dependent random variablesen_US
dc.subjectHypercube approximationen_US
dc.title相依正隨機變數之合其分佈函數之最佳化超立方體估計zh_TW
dc.titleAn optimal hypercube approximation of the distribution function of sum of positive dependent random variablesen_US
dc.typeThesisen_US
dc.contributor.department統計學研究所zh_TW
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