Multiple Logistic Regression Just as in OLS regression, logistic models can include more than one predictor. The analysis options are similar to regression. One can choose to select variables, as with a stepwise procedure, or one can enter the predictors simultaneously, or they can be entered in blocks. Variations of the likelihood ratio test can be conducted in which the chi-square test (G) is...

In this paper, we proposed a logistic regression model with lp,q regularization that could give group sparse solution. The be applied to variable-selection problems structures. the context of big data, solutions for practical are often sparse, so it is necessary study kind model. We defined from three perspectives: theoretical, algorithmic and numeric. From theoretical perspective, by introduci...

In our previous paper, the logistic curve of removed number was derived from SIR and SEIR models in case small basic reproduction number. this we derive various curves removed, unsusceptible infectious numbers respectively SIS large numbers.