Statistical Moment or Cumulative Distribution? Evaluations and Improvements on Side-channel Analysis
Abstract: Side-channel techniques, such as Distance-of-Means and Kolmogorov-Smirnov analysis, provide valuable insights about leakages from the indirect perspectives of statistical moment and ...
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 ...
The complementary cumulative distribution function (CCDF) is an important method for analyzing power levels statistically. It involves plotting the probability of encountering different crest factors ...
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 ...
With economic development and population growth, energy demand has shown an upward trend. Renewable energy is inexhaustible and causes little pollution, which has broad prospects for development. In ...
…-ratio, also known as Fisher–Snedecor distribution) #238 rFSned(d1, d2) - Random variable - Snedecor's F distribution (F-distribution or F-ratio, also known as Fisher–Snedecor distribution) pFSned(x, ...
To accurately evaluate the influence of the uncertainty and correlation of photovoltaic (PV) output and load on the running state of power system, a probabilistic optimal power flow (POPF) calculation ...
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