Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable ...

Artificial intelligence (AI) has become part of the daily lexicon, and an endless stream of media reports assert that AI either has affected or will affect most aspects of human life. What is AI and ...

Binary logistic regression analysis was subsequently conducted to estimate odds ratios (ORs ... A two-tailed p-value < 0.05 was considered statistically significant. Model 1 represented unadjusted ...

Introduction Bangladesh’s cigarette smoking prevalence remained unchanged (around 14%) between 2009 and 2017. Through tax ...

Regression models with intractable normalizing constants are valuable tools for analyzing complex data structures, yet ...

In this paper, we proposed a framework, called Mulr4FL, for fault localization using a multivariate logistic regression model that combined both static and dynamic features collected from the program ...

Somer G. Anderson is CPA, doctor of accounting, and an accounting and finance professor who has been working in the accounting and finance industries for more than 20 years. Her expertise ...