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Logistic回归系数极大似然估计的计算 被引量:2

Computing Maximum Likelihood Estimates for Logistic Regression Coefficients
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摘要 本文介绍了Logistic回归系数的极大似然估计(maximum likelihood)的计算,并引入Levenberg-Mar-quardt算法,通过迭代给出了Logistic回归系数的极大似然估计。 This document briefly describes the estimation of coefficients in Logistic regression which is usually carried out based on the principle of maximum hkelihood. And then, the Levengerg - Marquardt algorithm is introduced to compute the maxinum likelihood estimates for regression coefficients.
作者 王治
机构地区 中南大学数学院
出处 《数学理论与应用》 2009年第4期86-90,共5页 Mathematical Theory and Applications
关键词 LOGISTIC回归 极大似然估计 LEVENBERG-MARQUARDT算法 Logistic Regression Maximum likelihood Levenberg- Marquardt Algorithm
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参考文献4

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  • 2章忠志,符林,唐焕文.基于人工神经网络的商业银行信用风险模型[J].经济数学,2003,20(3):42-47. 被引量:16
  • 3石晓军,肖远文,任若恩.Logistic违约率模型的最优样本配比与分界点研究[J].财经研究,2005,31(9):38-48. 被引量:49
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  • 5Ashok Thampy. Zeta Analysis:Financing of SME firms in India: Interview with Ranjana Kumar,Former CMD,India n Bank;Vigilance Comnfissioner,Central Vigilance Commission [J]. lIMB Management Review, 2010,22 (3) : 63-64.
  • 6Psillaki M. Evaluation of Credit Risk Based on Firm Performance [J]. Euopean Journal of Operational Research, 2010,201 (3) :873-871.
  • 7Behr P,Guttler A. Credit Risk Assessment And Relationship Lending: An Empirical Analysis of German Small and Medium- Sized Enterprises [J]. Journal of Small Business Management, 2007,45 (2) : 194-213.
  • 8Li Xin,The Study of Multivariate Statistical Analysis in the SMEs Credit Evaluation-A Case Study in Zhenjiang China[J]. Information-an International Interdisciplinary Journal,2009,12 (5) : 1045-1065.
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