Given the scale and rate of mangrove loss globally, it is increasingly important to map and monitor mangrove forest health in a timely fashion. This study aims to identify the conditions of mangroves in a coastal lagoon south of the city of Mazatlán, Mexico, using proximal hyperspectral remote sensing techniques. The dominant mangrove species in this area includes the red (Rhizophora mangle), t...

Purpose: To investigate the factors affecting communicational skills of regimental commanders toward conscripts at an army introductory military training center in Tehran. Materials and Methods: The participants were 82 regimental commanders of the regiments and battalions of an introductory military training center. A 21-item questionnaire was used to collect the required data. Descriptive...

The Total System Performance Assessment (TSPA) for the proposed high level radioactive waste repository at Yucca Mountain, Nevada, uses a sampling-based approach to uncertainty and sensitivity analysis. Specifically, Latin hypercube sampling is used to generate a mapping between epistemically uncertain analysis inputs and analysis outcomes of interest. This results in distributions that charact...

Least-Angle Regression and the LASSO (`1-penalized regression) offer a number of advantages in variable selection applications over procedures such as stepwise or ridge regression, including prediction accuracy, stability and interpretability. We discuss formulations of these algorithms that extend to datasets in which the number of observations could be so large that it would not be possible t...

This paper is a further development of our work presented at SUGI’26 and SUGI’28 in which we proposed an approach to model building for prediction based on the combination of stepwise logistic regression, information criteria, and the best subset selection. The approach inherited some strong features of the three components mentioned above, in particular it helped to avoid the agonizing process...