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.
出处
《数学理论与应用》
2009年第4期86-90,共5页
Mathematical Theory and Applications