Abstract Due to the complex characteristics of annual contribution time series, it is difficult achieve ideal prediction effect by a single prediction. Therefore, electricity model based on Logistic regression analysis studied. The statistical method series combined with fuzzy correlation feature used obtain high-voltage power transmission data business expansion and consumption after transmiss...

In the context of polytomous regression, as with any generalized linear model, robustness issues are well documented. Existing robust estimators designed to protect against misclassification, but do not outlying covariates. It is shown that this can have a much bigger impact on estimation and testing than misclassification alone. To address problem, two new introduced: model-type estimator an o...