Results 11 to 20 of about 353,390 (265)
Random Fields in Physics, Biology and Data Science
Frontiers in Physics, 2021 A random field is the representation of the joint probability distribution for a set of random variables. Markov fields, in particular, have a long standing tradition as the theoretical foundation of many applications in statistical physics and ...
Enrique Hernández-Lemus +1 more
doaj +1 more source
New extreme value theory for maxima of maxima
Statistical Theory and Related Fields, 2021 Although advanced statistical models have been proposed to fit complex data better, the advances of science and technology have generated more complex data, e.g., Big Data, in which existing probability theory and statistical models find their ...
Wenzhi Cao, Zhengjun Zhang
doaj +1 more source
Relativistic Statistical Mechanics vs. Relativistic Thermodynamics
Entropy, 2011 Based on a covariant theory of equilibrium Thermodynamics, a Statistical Relativistic Mechanics is developed for the non-interacting case. Relativistic Thermodynamics and Jüttner Relativistic Distribution Function in a moving frame are obtained by using ...
Benjamín López-Carrera +1 more
doaj +1 more source
A Bayesian Angular Superresolution Method With Lognormal Constraint for Sea-Surface Target
IEEE Access, 2020 Maximum a posteriori (MAP) approach, based on Bayesian criterion, is proposed to overcome the low azimuth resolution in real-aperture imaging. The essence of this approach is to use the statistical characteristics of the imaging background and target to ...
Jianyu Yang +4 more
doaj +1 more source
Chinese Journal of Mechanical Engineering, 2023 Bolt connection is one of the main fixing methods of cylindrical shell structures. A typical bolted connection model is considered as a tuned system. However, in the actual working conditions, due to the manufacturing error, installation error and uneven
Qiansheng Tang +3 more
doaj +1 more source
The research on Bayesian inference for geophysical inversion
地球与行星物理论评, 2022 Based on statistical theory, the Bayesian inversion method adopts the posterior probability distribution to evaluate the model parameters under the constraints of prior information and observation data.
Xingda Jiang, Wei Zhang, Hui Yang
doaj +1 more source
An Adsorption Equilibria Model for Steady State Analysis
International Journal of Technology, 2016 The investigation of adsorption isotherms is a prime factor in the ongoing development of adsorption cycles for a spectrum of advanced, thermally-driven engineering applications, including refrigeration, natural gas storage, and desalination processes.
Azhar Bin Ismail +3 more
doaj +1 more source
Size structure of earthworms populations and the theory of neutrality
Vìsnik Dnìpropetrovsʹkogo Unìversitetu: Serìâ Bìologìâ, Ekologìâ, 2007 The paper points that neutrality theory allows to describe a distribution of earthworms’ body weight classes in the population. The statistical parameters can be interpreted in terms of the population ecology. The dynamics of parameters distribution over
O. М. Kunah
doaj +1 more source
Extended Matrix Variate Hypergeometric Functions and Matrix Variate Distributions
International Journal of Mathematics and Mathematical Sciences, 2015 Hypergeometric functions of matrix arguments occur frequently in multivariate statistical analysis. In this paper, we define and study extended forms of Gauss and confluent hypergeometric functions of matrix arguments and show that they occur naturally ...
Daya K. Nagar +2 more
doaj +1 more source
Cumhuriyet Science Journal, 2020 In this study, a new approach to transmutation theory is developed by using negative dependency basement. Once choosing a distribution that has negative dependency with the same marginal, a new bivariate distribution is derived.
Mehmet Yılmaz, Hüseyin Ünözkan
doaj +1 more source