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pro vyhledávání: '"ARNOLD, Barry C"'
In the following, we introduce new proportional hazard (PH) processes, which are derived by a marginal transformation applied to complementary power function distribution (CPFD) processes. Also, we introduce two new Pareto processes, which are derive
Externí odkaz:
http://arxiv.org/abs/2403.05813
It is known that all the proportional reversed hazard (PRH) processes can be de?rived by a marginal transformation applied to a power function distribution (PFD) process. Kundu [8] investigated PRH processes that can be viewed as being ob?tained by m
Externí odkaz:
http://arxiv.org/abs/2305.13020
Autor:
Arnold, Barry C., Ghosh, Indranil
Bivariate count data arise in several different disciplines (epidemiology, marketing, sports statistics, etc., to name but a few) and the bivariate Poisson distribution which is a generalization of the Poisson distribution plays an important role in
Externí odkaz:
http://arxiv.org/abs/2301.04251
Autor:
Martínez-Flórez, Guillermo1 (AUTHOR) guillermomartinez@correo.unicordoba.edu.co, Arnold, Barry C.2 (AUTHOR) barnold@ucr.edu, Gómez, Héctor W.3 (AUTHOR) hector.gomez@uantof.cl
Publikováno v:
Mathematics (2227-7390). Nov2024, Vol. 12 Issue 21, p3334. 19p.
Autor:
Arnold, Barry C., Manjunath, B. G.
A random variable is equi-dispersed if its mean equals its variance. A Poisson distribution is a classical example of this phenomenon. However, a less well-known fact is that the class of normal densities that are equi-dispersed constitutes a one par
Externí odkaz:
http://arxiv.org/abs/2209.01772
Autor:
Arnold, Barry C., Manjunath, B. G.
It will be recalled that the classical bivariate normal distributions have normal marginals and normal conditionals. It is natural to ask whether a similar phenomenon can be encountered involving Poisson marginals and conditionals. Reference to Arnol
Externí odkaz:
http://arxiv.org/abs/2009.01296
Autor:
Singpurwalla, Nozer D., Arnold, Barry C., Gastwirth, Joseph L., Gordon, Anna S., Ng, Hon Keung Tony
Publikováno v:
International Statistical Review (2016), Vol. 84, pp. 390-412
In this paper, we develop a family of bivariate beta distributions that encapsulate both positive and negative correlations, and which can be of general interest for Bayesian inference. We then invoke a use of these bivariate distributions in two con
Externí odkaz:
http://arxiv.org/abs/1701.03462
Autor:
Arnold, Barry C., Sarabia, José María
Publikováno v:
In Journal of Multivariate Analysis March 2022 188