First with section analysis and single variable , this essay analyzes the difference of twenty - one financial indexes between st and no st stock companies in five years basic financial data . at last , three financial crisis prediction modes are set up with six financial indexes which are the most important financial indexes in linear probability model , fisher linear analysis model and logistic analysis model 首先應(yīng)用剖面分析和單變量判定分析,研究財(cái)務(wù)危機(jī)出現(xiàn)前5年內(nèi)各年這二類公司21個財(cái)務(wù)指標(biāo)的差異;最后選定6個財(cái)務(wù)指標(biāo)為預(yù)警指標(biāo),應(yīng)用lpm多元線性回歸分析、 fisher線性判定分析和logistic回歸分析三種方法,分別建立三種預(yù)測財(cái)務(wù)危機(jī)的模型。
百科解釋
In statistics, a linear probability model is a special case of a binomial regression model. Here the observed variable for each observation takes values which are either 0 or 1.