Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/102909
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dc.contributor應數系
dc.creator李隆安;葉昭瑛zh_TW
dc.creatorLi, Lung-An;Yeh, Chao-Ying
dc.date1993-10
dc.date.accessioned2016-10-18T02:57:08Z-
dc.date.available2016-10-18T02:57:08Z-
dc.date.issued2016-10-18T02:57:08Z-
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/102909-
dc.description.abstract邏輯迴歸模式是一個廣泛應用的模式,現多採用最大概似估計法來估計參數,但這個估計方法會有不收斂的問題出現。文獻上有一些估計方法可避免這個現象,其中之一是判別函數估計法,其有效性Efron(1975)指出比最大概似估計法優越。本文提出改進的判別函數估計法,並用電腦模擬來實證改進的程度。\n 
dc.description.abstractThis paper provides an improved Discrimination Function Approach to logistic regression model. Some computer simulation demonstrates the new methods performance.\n 
dc.format.extent1118060 bytes-
dc.format.mimetypeapplication/pdf-
dc.relation國立政治大學學報, 67 part 2,493-511
dc.subject一般化最小平方法;BIC
dc.title論邏輯迴歸模式的估計zh_TW
dc.title.alternativeOn The Estimation of Logistic Regression
dc.typearticle
item.cerifentitytypePublications-
item.openairetypearticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextopen-
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