JSTOR Daily

A Generalized Logistic Function with an Application to the Effect of Advertising

A generalization of the common logistic function is developed, incorporating a non-unit saturation level, a non-zero intercept, and a non-symmetric shape. The dependence of the three generalized ...
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Multiple Regression, Logistic Regression, and Cox Regression Core Principles and Applications: ON-DEMAND COURSE

Dublin, Sept. 02, 2024 (GLOBE NEWSWIRE) -- The "Multiple Linear Regression, Logistic Regression, and Survival Analysis" webinar has been added to ResearchAndMarkets.com's offering. In this ...
JSTOR Daily

A Parametrization of the Logistic Function which Admits Uncorrelated Maximum Likelihood Estimators

A reparametrization of the two-parameter logistic growth function is given which, for independent homoscedastic normally distributed error terms, yields maximum ...
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Logistic Regression Cost Function ¦ Machine Learning ¦ Simply Explained

Learn what is Logistic Regression Cost Function in Machine Learning and the interpretation behind it. Logistic Regression Cost function is "error" representation of the model. It shows how the model ...