ABSTRACT: This study evaluates the projected impacts of climate change on surface water availability in the Diaguiri River Basin, a sub-catchment of the Gambia River in West Africa, using the ...

A precise measurement of photometric redshifts (photo-z) is key for the success of modern photometric galaxy surveys. Machine learning (ML) methods show great promise in this context, but suffer from ...

1 Department of Mathematics, Kotebe University of Education, Addis Ababa, Ethiopia 2 Department of Statistics, Addis Ababa University, Addis Ababa, Ethiopia The main purpose of this paper is to ...

Abstract: It is known that the probability density function (PDF) of a continuous random variable is Fourier transform of the characteristic function (CF). In this paper, we propose a new type of PDF ...

What Is A Probability Density Function? A probability density function, also known as a bell curve, is a fundamental statistics concept, that describes the likelihood of a continuous random variable ...

Department of Biostatistics, SPHHP, University at Buffalo, Buffalo, NY, United States Over the past years, distances and divergences have been extensively used not only in the statistical literature ...

Breakthrough offering combines the power of machine learning with the transparency of Evaluate’s renowned analytical approach for the most accurate analysis of drug probability of success Breakthrough ...

ABSTRACT: Maximum entropy likelihood (MEEL) methods also known as exponential tilted empirical likelihood methods using constraints from model Laplace transforms (LT) are introduced in this paper. An ...