# 拟合二元 Logistic 模型中事件预测的方法和公式

Poisson 自然对数
Poisson 平方根
Poisson 致命ID

exp(·)指数函数
Φ(·)正态分布的累积分布函数
X' 要预测的点的向量转置

## 拟合值和预测值的标准误

Logit
Normit
Gompit

### 表示法

1, for the binomial and Poisson models
xithe vector of a design point
the transpose of xi
Xthe design matrix
Wthe weight matrix
the first derivative of the link function evaluated at
the predicted mean response
the predicted probability for the design point in a binary logistic model
the inverse cumulative distribution function of the standard normal distribution for the predicted probability in a binary logistic model
the probability density function of the standard normal distribution

## 拟合和预测的置信限

Poisson 对数
Poisson 平方根
Poisson 标识

### 表示法

the inverse of the link function evaluated at x
the transpose of the vector of the predictors
the vector of estimated coefficients
the value of the inverse cumulative distribution function for the normal distribution evaluated at
αthe significance level
Xthe design matrix
Wthe weight matrix
1, for binomial and Poisson models
the predicted probability for the design point in a binary logistic model
the inverse cumulative distribution function of the standard normal distribution for the predicted probability in a binary logistic model
the cumulative distribution function of the standard normal distribution