Inverse Gaussian versus lognormal distribution in earthquake forecasting: keys and clues
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Seismology"
DOI: 10.1007/s10950-019-09822-5
Abstract: In earthquake fault systems, active faults release elastic strain energy in a near-repetitive manner. Earthquake forecasting that basically refers to the assessment of earthquake hazards via probability estimates is crucial for many strategic and engineering… read more here.
Keywords: seismology; earthquake forecasting; inverse gaussian; lognormal distribution ... See more keywords
Kaniadakis Functions beyond Statistical Mechanics: Weakest-Link Scaling, Power-Law Tails, and Modified Lognormal Distribution
Sign Up to like & getrecommendations! Published in 2022 at "Entropy"
DOI: 10.3390/e24101362
Abstract: Probabilistic models with flexible tail behavior have important applications in engineering and earth science. We introduce a nonlinear normalizing transformation and its inverse based on the deformed lognormal and exponential functions proposed by Kaniadakis. The… read more here.
Keywords: lognormal distribution; weakest link; link scaling; mechanics ... See more keywords
Modelling Heavy Tailed Phenomena Using a LogNormal Distribution Having a Numerically Verifiable Infinite Variance
Sign Up to like & getrecommendations! Published in 2023 at "Mathematics"
DOI: 10.3390/math11071758
Abstract: One-sided heavy tailed distributions have been used in many engineering applications, ranging from teletraffic modelling to financial engineering. In practice, the most interesting heavy tailed distributions are those having a finite mean and a diverging… read more here.
Keywords: lognormal distribution; modelling heavy; heavy tailed; variance ... See more keywords