Abstract: Traditional asymptotic analysis techniques fail for lognormal random variables (RV) because a lognormal probability density function cannot be quantified by Taylor series at the origin, and ...
A set of functions for well-known Empirical Cumulative Distribution Function (CDF)-based distance measure. Statistical/Probabilistic distance measure algorithms can ...
A Simple Algorithm for Converting Random Number Generator Outputs to Universal Distributions to Aid Teaching and Research in Modern Physical Chemistry ...
Department of Mathematics, Kotebe University of Education, Addis Ababa, Ethiopia This study introduces a five-parameter continuous probability model named the Beta-Exponential-Gaussian distribution by ...
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 ...
dxxx(x,) returns the density or the value on the y-axis of a probability distribution for a discrete value of x pxxx(q,) returns the cumulative density function (CDF) or the area under the curve to ...
Institute of Mathematics and Statistics, Fluminense Federal University (UFF), Niterói, Brazil. Statistical inference is an important topic in scientific studies, whether from the theoretical or ...
The use of feasible 3-D numerical methods has become essential for addressing problems related to rockfall hazard. Although several models with various degrees of complexity are available, certain ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results