Results 121 to 130 of about 52,336 (207)
Ambient‐Noise Multicomponent Multimodal Dispersion Characteristics in Thick Sedimentary Basins
Abstract Ambient noise cross‐correlations enable the extraction of multimodal surface waves, yet resolving their complex dispersion characteristics is essential for robust subsurface imaging. Using dense array data from the North China Plain, we resolve multicomponent multimodal Rayleigh and Love wave dispersion with unprecedented detail.
Gongheng Zhang +7 more
wiley +1 more source
The new generalized odd Median Based Unit Rayleigh
IntroductionIn this paper, the author presents the generalized form of the Median-Based Unit Rayleigh (MBUR) distribution, a novel statistical distribution that is specifically defined within the interval (0, 1).
Iman M. Attia
doaj +1 more source
A generalization of the transmuted Rayleigh distribution
Hugo S. Salinas +3 more
openaire +1 more source
ABSTRACT Parametric model order reduction by matrix interpolation allows for efficient prediction of the behavior of dynamic systems without requiring knowledge about the underlying parametric dependency. Within this approach, reduced models are first sampled and then made consistent with each other by transforming the underlying reduced bases. Finally,
Sebastian Resch‐Schopper +2 more
wiley +1 more source
This research centers on the creation of an innovative statistical model that extends the inverse exponential (IE) distribution by employing the Rayleigh‐exponentiated odd generalized (REOG) family of distributions, which is designated as the REOG‐IE ...
Abdullahi Abula Mohammed +7 more
doaj +1 more source
Properties of Generalized Rayleigh Distributions
Blumenson, L. E., Miller, K. S.
openaire +3 more sources
This study mainly aims to enhance the current knowledge base of distribution theory by revealing a new probability distribution known as the cosine-weighted generalized inverse Weibull (CWGI-Weibull) distribution.
Weize Ma +6 more
doaj +1 more source
Bayesian estimation under different loss functions for the case of inverse Rayleigh distribution
In this study, the best parameter estimator for the scale parameter (θ) of the inverse Rayleigh distribution was determined based on a comparison of the maximum likelihood estimator (MLE) method, the Bayesian generalized squared error loss function (SELF)
doaj +1 more source
In this paper, suggested formula as well a conventional method for estimating the twoparameters (shape and scale) of the Generalized Rayleigh Distribution was proposed.
A. A . AL- Naqeeb, A. M . Hamed
doaj
Moments of the generalized Rayleigh distribution [PDF]
openaire +1 more source

