Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...
This research provides density functions and descriptive statistics for the distance between points for basic shapes in Cartesian space. Both Euclidean and Rectilinear Distances are determined for ...
(a) Precipitation time series from GPM satellite product (GPM) and sensitivity experiments; (b)–(d) probability density distribution functions of daily total precipitation for GPM (green), CTRL ...
This valuable study shows a surprising scale-invariance of the covariance spectrum of large-scale recordings in the zebrafish brain in vivo. A solid analysis demonstrates that a Euclidean random ...
Abstract: The stochastic nature of renewable energy sources (RESs) necessitates treating power system frequency response as a random process with a nonstationary probability density function (PDF).
Abstract: The normal distribution model has strong application in mathematical and statistical research. In communication system, each electron component has a safety score, aiming to measure the its ...
Department of Basic Science, Nippon Veterinary and Life Science University, Tokyo, Japan. According to the uncertainty principle, the motion of the single electron in the 1s orbit of a hydrogen atom ...
The main finding of this study is the derivation of a new probability distribution that reveals interesting properties, especially with various asymmetry and kurtosis ...
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