Montgomery M E, White M E, Martin S W
Department of Veterinary Microbiology and Immunology, Ontario Veterinary College, University of Guelph.
Can J Vet Res. 1987 Oct;51(4):495-8.
Results from discriminant analysis and logistic regression were compared using two data sets from a study on predictors of coliform mastitis in dairy cows. Both techniques selected the same set of variables as important predictors and were of nearly equal value in classifying cows as having, or not having mastitis. The logistic regression model made fewer classification errors. The magnitudes of the effects were considerably different for some variables. Given the failure to meet the underlying assumptions of discriminant analysis, the coefficients from logistic regression are preferable.
利用奶牛大肠菌性乳腺炎预测因素研究中的两个数据集，对判别分析和逻辑回归的结果进行了比较。两种技术都选择了同一组变量作为重要预测因素，并且在将奶牛分类为患有或未患乳腺炎方面价值几乎相等。逻辑回归模型产生的分类错误较少。某些变量的效应大小有很大差异。鉴于判别分析未能满足其基本假设，逻辑回归的系数更可取。
