求助，logsitic回归的一个问题

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运行模型后提示：There is possibly a quasi-complete separation of data points. The maximum likelihood
estimate may not exist.
大虾给解释以下原因

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关键词：logsitic回归 logsitic logs sit Log logsitic

顶起来，希望大虾出现

http://www.sinica.edu.tw/~jds/JDS-155.pdf

PROC

LOGISTIC gave the warning: “That there is possibly a quasi-complete separation

of data points. In particular, the maximum likelihood estimate may not exist.

The LOGISTIC procedure continues in spite of the above warning. Results shown

are based on the last maximum likelihood iteration. Validity of the model fit is

questionable.” It is typical of quasi-complete separation data that the variances

of the pseudo estimates are seemingly large. A slight perturbation of appropriate

data points would remove the separation, or make it complete. Such a situation

can be tested by appropriately perturbing the coefficients by a percent or so (not

any coefficients which have known exact values). If the answers vary wildly, this

suggests numerical ill conditioning, and the specific solution has limited meaning

可以用中文解释吗，关键的问题就是不知到这些统计术语意味着什么

 

n极大似然估计主要适用于大样本（100以上基本可以），从而具有一致性、渐进有效性、渐进正态性等。

我猜可能是你的数据问题，使得极大似然估计没法求偏导为零的答案

软件就给你随便取个具体值

从而也无法通过检验

-----我猜-----