IMPROVED CLASSIFICATION MODELS TO DISTINGUISH NATURAL FROM ANTHROPIC OIL SLICKS IN THE GULF OF MEXICO: SEASONALITY AND RADARSAT-2 BEAM MODE EFFECTS UNDER A MACHINE LEARNING APPROACH

Distinguishing between natural and anthropic oil slicks is a challenging task, especially in the Gulf of Mexico, where these events can be simultaneously observed and recognized as seeps or spills.In this study, a powerful data analysis provided by opi mauvnetic poles machine learning (ML) methods was employed to develop, test, and implement a clas

In this paper, we provide a welfare ranking for the equilibria of the supply function and quantity competitions in a differentiated product duopoly with demand uncertainty.We prove that the expected consumer surplus is always higher under the supply function competition, irrespective of whether the (duopolistic) products are substitutes, complement

Abstract Non-financial companies listed on the Frankfurt Stock Exchange face considerable difficulties due to expensive funding and the need to make complex decisions about their capital structure.These problems impact their judgments about dividend policy, resulting in ambiguity and possible inefficiency.This study draws on the bird-in-hand theory