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dc.contributor.author劉孟輔en_US
dc.contributor.authorLiu, Meng-Fuen_US
dc.contributor.author洪慧念en_US
dc.contributor.authorHui-Nien Hungen_US
dc.date.accessioned2014-12-12T02:18:33Z-
dc.date.available2014-12-12T02:18:33Z-
dc.date.issued1997en_US
dc.identifier.urihttp://140.113.39.130/cdrfb3/record/nctu/#NT860338007en_US
dc.identifier.urihttp://hdl.handle.net/11536/62701-
dc.description.abstract本篇論文利用洪慧念 博士及王永雄博士在一九九六年所提出的平均概似 函數的概念,對逆高斯分布的參數提出新的估計量,並顯示此估計量比其它 我們所知的估計量要來的好. From the idea of average likelihood, Hung and Wong (1996), we will give a new method for estimating the parameters in the inverse Gaussian model. And, we will show that this method is really better than any other methods we can find up to now.zh_TW
dc.language.isozh_TWen_US
dc.subjectzh_TW
dc.title逆高斯分布之計參數估計zh_TW
dc.titleNew Estimation in Inverse Gaussian Modelen_US
dc.typeThesisen_US
dc.contributor.department統計學研究所zh_TW
Appears in Collections:Thesis