Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/102909


Title: 論邏輯迴歸模式的估計
Other Titles: On The Estimation of Logistic Regression
Authors: 李隆安;葉昭瑛
Li, Lung-An;Yeh, Chao-Ying
Contributors: 應數系
Keywords: 一般化最小平方法;BIC
Date: 1993-10
Issue Date: 2016-10-18 10:57:08 (UTC+8)
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。
 
This paper provides an improved Discrimination Function Approach to logistic regression model. Some computer simulation demonstrates the new methods performance.
 
Relation: 國立政治大學學報, 67 part 2,493-511
Data Type: article
Appears in Collections:[第67期] 期刊論文

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