In this paper, we define a multiple ordinal regression algorithm based on maximizing the sum of the margins between every consecutive class with respect to one or more rankings (e.g., perceived length ...

Linear discriminant analysis (LDA) may yield an inexact solution by transforming a trace ratio problem into a corresponding ratio trace problem. Most recently, optimal dimensionality LDA (ODLDA) and ...

After searching multiple databases, one cross-sectional and six longitudinal panel studies of moderate quality reported disability-free life expectancy (DFLE) comparisons for multiple long-term ...

Flexible Statistics and Data Analysis (FSDA) extends MATLAB for a robust analysis of data sets affected by different sources of heterogeneity. It is open source software licensed under the European ...

Study objective: In social epidemiology, it is easy to compute and interpret measures of variation in multilevel linear regression, but technical difficulties exist in the case of logistic regression.

Ancient tooth enamel proteins have provided powerful clues for researchers studying our very early relatives – Paranthropus robustus, in this instance – and their role in human evolution. This hard ...

Performing multiple logistic regression analysis on airline and customer data to predict the satisfaction. 🔵R. ... python machine-learning linear-regression scikit-learn lasso roc statsmodels ...

The objectives of this work were to predict soil properties using pXRF data, comparing stepwise multiple linear regression (SMLR) and random forest (RF) methods, as well as mapping and validating soil ...