Results 241 to 250 of about 52,623 (273)
Some of the next articles are maybe not open access.
Transmuted Generalized Rayleigh Distribution
Journal of Statistics Applications & Probability, 2014In this article, we generalize the generalized Rayleigh distribution using the qu adratic rank transmutation map studied by Shaw et al. (9) to develop a transmuted generalized Rayleigh distribution. We provide a comprehensive description of the mathematical properties of the subject distribution along with its reliability behav ior.
openaire +1 more source
Half Logistic Generalized Rayleigh Distribution for Modeling Hydrological Data
Annals of Data ScienceAdebisi A. Ogunde +2 more
openaire +3 more sources
Modelling SAR images with a generalisation of the Rayleigh distribution
Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers (Cat. No.00CH37154), 2002Synthetic aperture radar (SAR) imagery has found important applications due to its clear advantages over optical satellite imagery one of them being able to operate in various weather conditions. However, due to the physics of the radar imaging process, SAR images contain unwanted artifacts in the form of a granular look which is called speckle.
Kuruoglu EE, Zerubia J
openaire +4 more sources
Generation of non-Rayleigh speckle distributions using marked regularity models
IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 1999Fully developed speckle patterns observed in coherent imagery are characterized by a Rayleigh-distributed envelope amplitude. Non-Rayleigh distributions are observed in many cases, such as when the number of scatterers in a resolution cell is small or scatterers are organized with some periodicity.
R M, Cramblitt, K J, Parker
openaire +2 more sources
ON THE PROPERTIES OF GENERALIZED RAYLEIGH DISTRIBUTION WITH APPLICATIONS
2023In this study, a new three-parameter lifetime distribution called the generalized Rayleigh distribution was introduced. The new model is an extension of classical Rayleigh distribution. An extension of density of the generalized Rayleigh distribution was derived from which some of the statistical and mathematical properties were derived.
Sule Omeiza Bashiru +2 more
openaire +1 more source
Parameter Estimation of Generalized Rayleigh Distribution
Journal of Statistical Theory and PracticezbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +1 more source
A generalized Gompertz-Rayleigh model as a survival distribution
Mathematical Biosciences, 1984Abstract A generalized Gompertz-Rayleigh distribution is proposed as a potential survival distribution for the case of modeling dual components of risk acting on a population. The hazard function is expressed as the sum of two risks. The early risk component allows for either a high initial death rate that can decrease rapidly or an initial death ...
Dorothy H. Bradley +2 more
openaire +1 more source
Discriminating between the generalized Rayleigh and Weibull distributions
Journal of Applied Statistics, 2013Generalized Rayleigh (GR) and Weibull (WE) distributions are used quite effectively for analysing skewed lifetime data. In this paper, we consider the problem of selecting either GR or WE distribution as a more appropriate fitting model for a given data set.
openaire +1 more source
A new lifetime model: the Kumaraswamy generalized Rayleigh distribution
Journal of Statistical Computation and Simulation, 2012The generalized Rayleigh (GR) distribution [V.G. Vodǎ, Inferential procedures on a generalized Rayleigh variate, I, Appl. Math. 21 (1976), pp. 395–412; V.G. Vodǎ, Inferential procedures on a generalized Rayleigh variate, II, Appl. Math. 21 (1976), pp.
Antonio E. Gomes +3 more
openaire +1 more source
Generalization of Rayleigh Probability Distribution and its Application
Journal of Ship Research, 1978The Rayleigh probability distribution has been used extensively for statistical prediction of ocean waves, responses of ships, and marine structures in a seaway. However, the Rayleigh distribution cannot be used for statistical prediction of non-Gaussian random processes, a typical example of which is ship rolling motion with nonlinear characteristics.
openaire +1 more source

