摘要
针对logistic回归中最大似然估计法的迭代算法求解困难的问题,从理论和实例运用的两个角度寻找到一种简便估计法,即经验logistic回归.分析结果表明,在样本容量很大的情况下经验logistic回归方法比最大似然估计方法更具备良好的科学性和实用性,并且两种方法对同一组资料的分析结果一致,而经验logistic回归更简单,此结果对于实际工作者来说非常重要.
In this paper , the empirical logistic regression method and the maximum likelihood estimation method were analyzed in detail by illustrating in theory , and the two methods were compared with correlation a-nalysis from scientific and practical .Analysis results show that , under the condition of the sample size is very big , empirical logistic regression method is better than maximum likelihood estimation method in respect of scientific and practical , at the same time , they are the same consequence .However , empirical logistic regression method is easier than maximum likelihood estimation method , which is very important to practical workers .
出处
《佳木斯大学学报(自然科学版)》
CAS
2014年第1期139-142,共4页
Journal of Jiamusi University:Natural Science Edition
基金
国家自然科学基金项目(71171103)
甘肃省教育厅基金项目(0901-08)