Results 81 to 90 of about 7,899 (195)

Generalized Statistics Variational Perturbation Approximation using q-Deformed Calculus

open access: yes, 2010
A principled framework to generalize variational perturbation approximations (VPA's) formulated within the ambit of the nonadditive statistics of Tsallis statistics, is introduced.
A. Plastino   +25 more
core   +1 more source

Kumaraswamy Modified Kies Power Lomax Distribution: Properties, Actuarial Measures, and Applications

open access: yesEngineering Reports, Volume 7, Issue 9, September 2025.
In this paper, we introduce a novel five‐parameter probability model integrating the features of the Kumaraswamy Modified Kies‐G family and the power Lomax distribution, offering improved flexibility in modeling real‐world data. The proposed model is named the Kumaraswamy Modified Kies power Lomax distribution, which captures a wide range of shapes ...
Potluri S. S. Swetha   +5 more
wiley   +1 more source

Nuclear modification factor using Tsallis non-extensive statistics [PDF]

open access: yesThe European Physical Journal A, 2016
Same as the published version in ...
Tripathy, Sushanta   +5 more
openaire   +2 more sources

Two Types of q‐Gaussian Distributions Used to Study the Diffusion in a Finite Region

open access: yesMathematical Methods in the Applied Sciences, Volume 48, Issue 13, Page 13192-13201, September 2025.
ABSTRACT In this work, we explore both the ordinary q$$ q $$‐Gaussian distribution and a new one defined here, determining both their mean and variance, and we use them to construct solutions of the q$$ q $$‐deformed diffusion differential equation. This approach allows us to realize that the standard deviation of the distribution must be a function of
Won Sang Chung   +3 more
wiley   +1 more source

Tsallis Statistics in High Energy Physics: Chemical and Thermal Freeze-Outs

open access: yesPhysics, 2020
We present an overview of a proposal in relativistic proton-proton (pp) collisions emphasizing the thermal or kinetic freeze-out stage in the framework of the Tsallis distribution.
Jean Cleymans   +1 more
doaj   +1 more source

Extension of thermonuclear functions through the pathway model including Maxwell-Boltzmann and Tsallis distributions

open access: yes, 2007
The Maxwell-Boltzmannian approach to nuclear reaction rate theory is extended to cover Tsallis statistics (Tsallis, 1988) and more general cases of distribution functions.
Anderson   +36 more
core   +1 more source

A Novel Inverse Statistical Model for Lifetime and Reliability Analysis

open access: yesEngineering Reports, Volume 7, Issue 8, August 2025.
This paper introduces and studies the inverse Mustapha type‐II distribution (IMUIID), a new model obtained through the inverse transformation of the Mustapha type‐II distribution. The IMUIID is defined on the positive real line and offers enhanced flexibility in modeling lifetime and reliability data, particularly where traditional models may fail to ...
Tamer K. Ibrahim   +3 more
wiley   +1 more source

Law of Error in Tsallis Statistics [PDF]

open access: yesIEEE Transactions on Information Theory, 2005
Gauss' law of error is generalized in Tsallis statistics such as multifractal systems, in which Tsallis entropy plays an essential role instead of Shannon entropy. For the generalization, we apply the new multiplication operation determined by the q-logarithm and the q-exponential functions to the definition of the likelihood function in Gauss' law of ...
Suyari, Hiroki, Tsukada, Makoto
openaire   +2 more sources

Verlinde's emergent gravity in an $\boldsymbol{n-}$dimensional, non-additive Tsallis' scenario

open access: yes, 2018
This paper brings together four distinct but very important physical notions: 1) Entropic force, 2) Entropy-along-a-curve, 3) Tsallis' q-statistics, and 4) Emergent gravitation.
Ferri, G. L.   +3 more
core   +1 more source

PlantLncBoost: key features for plant lncRNA identification and significant improvement in accuracy and generalization

open access: yesNew Phytologist, Volume 247, Issue 3, Page 1538-1549, August 2025.
Summary Long noncoding RNAs (lncRNAs) are critical regulators of numerous biological processes in plants. Nevertheless, their identification is challenging due to the low sequence conservation across various species. Existing computational methods for lncRNA identification often face difficulties in generalizing across diverse plant species ...
Xue‐Chan Tian   +5 more
wiley   +1 more source

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