Separate binary regression models When the dependent variable is ordinal, such as here, we can choose to dichotomise it and use binary logistic regression. A variable with three categories can be ...

This article addresses this issue by exploring an artificial intelligence-based approach, using a multinomial logistic regression model incorporating ten variables: six academic grades out of 20 and ...

In this letter, a real-time implementation of the logistic regression via variable splitting and augmented Lagrangian (LORSAL) algorithm for sparse multinomial logistic regression is presented on ...

Mathematical Models Recently, mathematical models using logistic-regression and Bayesian networks have been developed in order to predict the outcome of PULs ( Table 1 ).

Your mortgage interest rate depends on a variety of factors, including the type of loan (fixed or adjustable) and the loan term (such as 30 years). Learn more.

The Bloomberg Terminal puts the industry’s most powerful suite of global, multi-asset portfolio and risk analysis tools at your fingertips.

Serum progesterone and HCG levels, mathematical models and other factors can help predict the outcomes of pregnancies of unknown location (PULs). What is involved in the management of women with PULs?

The improvements in the robustness of recursive least square with a variable forgetting factor (VFF-RLS) algorithm is verified in this paper. A Thevenin model which is frequently-used in battery ...