Results 61 to 70 of about 141,845 (188)

Bivariate modelling of precipitation and temperature using a non-homogeneous hidden Markov model

, 2018
Aiming to generate realistic synthetic times series of the bivariate process of daily mean temperature and precipitations, we introduce a non-homogeneous hidden Markov model.
Hoang, Thi Thu Huong, Parey, Sylvie, Touron, Augustin   +2 more
core  

Generalized bivariate Kummer-beta distribution with marginals defined on the unit interval.

PLoS ONE
In this paper, a generalized bivariate Kummer-beta distribution is proposed. The name derives from the fact that its particular cases include univariate Kummer-beta distributions.
Sina Shabgard, Anis Iranmanesh, Najmeh Nakhaei Rad, Daya K Nagar, Saralees Nadarajah   +4 more
doaj   +1 more source

Bayesian and Non-Bayesian Inference to Bivariate Alpha Power Burr-XII Distribution with Engineering Application

Axioms
In this research, we present a new distribution, which is the bivariate alpha power Burr-XII distribution, based on the alpha power Burr-XII distribution. We thoroughly examine the key features of our newly developed bivariate model.
Dina A. Ramadan, Mustafa M. Hasaballah, Nada K. Abd-Elwaha, Arwa M. Alshangiti, Mahmoud I. Kamel, Oluwafemi Samson Balogun, Mahmoud M. El-Awady   +6 more
doaj   +1 more source

Some R graphics for bivariate distributions [PDF]

There is no package in R to plot bivariate distributions for discrete variables or variables given by classes. Therefore, with the help of the already implemented R routine persp R functions will be proposed for 3-D plots of the bivariate distribution of
Klein, Ingo
core  

On the entropy flows to disorder

, 2008
Gamma distributions, which contain the exponential as a special case, have a distinguished place in the representation of near-Poisson randomness for statistical processes; typically, they represent distributions of spacings between events or voids among
Dodson, C. T. J.
core   +2 more sources

Bayesian Inference for Copula-Linked Bivariate Generalized Exponential Distributions: A Comparative Approach

Axioms
This paper addresses the limitations of existing bivariate generalized exponential (GE) distributions for modeling lifetime data, which often exhibit rigid dependence structures or non-GE marginals.
Carlos A. dos Santos, Saralees Nadarajah, Fernando A. Moala, Hassan S. Bakouch, Shuhrah Alghamdi   +4 more
doaj   +1 more source

Assessing Dependence Changes in the Asian Financial Market Returns Using Plots Based on Nonparametric Measures [PDF]

This paper investigates whether or not there are significant changes in the dependence between the Thai equity market and six Asian markets - namely, Singaporean, Malaysian, Hong Kong, Korean, Indonesian and Taiwanese markets - due to 1997-July financial
Param Silvapulle, Xibin Zhang
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Stopping rules for the estimation of the parameters of bivariate and trivariate binomial distributions [PDF]

In this work one step look-ahead rules for the estimation of the parameters of the bivariate and trivariate distributions are given. They turn out to be asymptotically optimal and may be useful in many statistical contexts, for example, in statistical ...
Alessandro Zini
core  

Analysis of Ferquency Maximum Flood in Mountain basin (Case study : Armand station) [PDF]

علوم و مهندسی آبیاری, 2012
A bivariate extreme value distribution, namely the Gumbel mixed model constructed from Gumbel marginal distributions is employed to analyze the joint distribution of correlated flood peak (probable maximum flood) and amount.
D. Rahimi, A. Baratian
doaj  

Copula bivariate probit models: with an application to medical expenditures [PDF]

The bivariate probit model is frequently used for estimating the effect of an endogenous binary regressor (the "treatment") on a binary health outcome variable.
Rainer Winkelmann
core