Results 11 to 20 of about 150,813 (163)
Penalized likelihood approach for the four-parameter kappa distribution [PDF]
The four-parameter kappa distribution (K4D) is a generalized form of some commonly used distributions such as generalized logistic, generalized Pareto, generalized Gumbel, and generalized extreme value (GEV) distributions. Owing to its flexibility, the K4D is widely applied in modeling in several fields such as hydrology and climatic change.
Nipada Papukdee +2 more
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Map of suprathermal onto nonextensive parameters describing Langmuir waves
We propose a polytropic-like index that depends on the concentration and number of degrees of freedom of a gas of charged particles following a nonextensive distribution.
F.E.M. Silveira, M.H. Benetti
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A three-component plasma composed of nonthermal Kappa-distributed electrons, mobile ions, stationary and dust-fluctuating (spherical) dust particles is considered.
M. Kamran +4 more
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Statistics of Binary Exchange of Energy or Money
Why does the Maxwell-Boltzmann energy distribution for an ideal classical gas have an exponentially thin tail at high energies, while the Kaniadakis distribution for a relativistic gas has a power-law fat tail?
Maria Letizia Bertotti +1 more
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Bayesian Inference in Extremes Using the Four-Parameter Kappa Distribution
Maximum likelihood estimation (MLE) of the four-parameter kappa distribution (K4D) is known to be occasionally unstable for small sample sizes and to be very sensitive to outliers.
Palakorn Seenoi +2 more
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Kappa and q Indices: Dependence on the Degrees of Freedom
The kappa distributions, or their equivalent, the q-exponential distributions, are the natural generalization of the classical Boltzmann-Maxwell distributions, applied to the study of the particle populations in collisionless space plasmas.
George Livadiotis
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Relativistic Kappa Distribution Effects on Dust Charging in Critical Areas of Dusty Plasma [PDF]
The process of dust grain charging with the help the orbit limited motion theory (OLM) and a kinetic model in the relativistic regime considers in the critical areas of the dust grain density when it is very low and vice versa.
Masoud Taherimoghadam, Taghi Mirzaye
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Loading a relativistic Kappa distribution in particle simulations
A procedure for loading particle velocities from a relativistic kappa distribution in particle-in-cell and Monte Carlo simulations is presented. It is based on the rejection method and the beta prime distribution. The rejection part extends earlier method for the Maxwell–Jüttner distribution, and then the acceptance rate reaches ≳95%.
Seiji Zenitani, Shin'ya Nakano
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A Transmuted Survival Kappa Distribution: Properties and Applications [PDF]
The author proposes a new four-parameter distribution that aims to provide a more flexible approach to modelling real-life data compared to commonly used lifetime distributions defined.
Nahla Abdul Sahib
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Modeling climate extremes using the four-parameter kappa distribution for r-largest order statistics
Accurate estimation of the T-year return levels of climate extremes using statistical distribution is a critical step in the projection of future climate and in engineering design for disaster response.
Yire Shin, Jeong-Soo Park
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