Abstract: This article proposes a methodology for modeling magnetic anisotropy in ferromagnetic materials. This approach was initially used to represent the isothermal remanent magnetization (IRM) ...
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 ...
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 ...
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