Results 171 to 180 of about 14,479,772 (204)
Some of the next articles are maybe not open access.
On Some Shock Models with Poisson and Generalized Poisson Shock Processes
2017We consider systems subject to shocks that follow the generalized Polya process (GPP), which has been recently introduced and characterized in the literature. Distinct from the nonhomogeneous Poisson process that has been widely used in applications, the important feature of this process is the dependence of its future behaviour on the number of ...
Ji Hwan Cha, Maxim Finkelstein
openaire +1 more source
Generalized poisson models arising from Markov processes
Statistics & Probability Letters, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bosch, Ronald J., Ryan, Louise M.
openaire +1 more source
General mixed Poisson regression models with varying dispersion
Statistics and Computing, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wagner Barreto-Souza, Alexandre B. Simas
openaire +1 more source
A study of Poisson query generation model for information retrieval
Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, 2007Many variants of language models have been proposed for information retrieval. Most existing models are based on multinomial distribution and would score documents based on query likelihood computed based on a query generation probabilistic model. In this paper, we propose and study a new family of query generation models based on Poisson distribution.
Qiaozhu Mei +2 more
openaire +1 more source
AIP Conference Proceedings, 2016
Poisson regression has been used if the response variable is count data that based on the Poisson distribution. The Poisson distribution assumed equal dispersion. In fact, a situation where count data are over dispersion or under dispersion so that Poisson regression inappropriate because it may underestimate the standard errors and overstate the ...
openaire +1 more source
Poisson regression has been used if the response variable is count data that based on the Poisson distribution. The Poisson distribution assumed equal dispersion. In fact, a situation where count data are over dispersion or under dispersion so that Poisson regression inappropriate because it may underestimate the standard errors and overstate the ...
openaire +1 more source
A Comparison of Generalized Poisson Distribution for Modeling Chromosome Aberrations
Biometrical Journal, 1996AbstractVarious models have been developed for modeling the distribution of chromosome aberrations in the literature (e. g. Consul, 1989). Generalized Poisson distribution is among the popular ones. The parameters of this distribution provide meaningful interpretation of the induction mechanism of the chromosome aberrations.
Lee, Carl M.-S., Famoye, Felix
openaire +2 more sources
Robust estimation in the generalized poisson model
Statistics, 2004A computationally simple method of robust estimation in the generalized Poisson model is presented. Estimators are proved to be optimal in the sense of local minimax testing, conditionally on the explanatory variable. Results of a Monte Carlo experiment are supplemented where robust and efficient estimators are compared.
openaire +1 more source
A generalized Poisson-gamma model for spatially overdispersed data
Spatial and Spatio-temporal Epidemiology, 2012Modern disease mapping commonly uses hierarchical Bayesian methods to model overdispersion and spatial correlation. Classical random-effects based solutions include the Poisson-gamma model, which uses the conjugacy between the Poisson and gamma distributions, but which does not model spatial correlation, on the one hand, and the more advanced CAR model,
Thomas, Neyens +2 more
openaire +2 more sources
A Multivariate Generalized Poisson Regression Model
Communications in Statistics - Theory and Methods, 2014A multivariate generalized Poisson regression model based on the multivariate generalized Poisson distribution is defined and studied. The regression model can be used to describe a count data with any type of dispersion. The model allows for both positive and negative correlation between any pair of the response variables.
openaire +1 more source
A rich family of generalized Poisson regression models with applications
Mathematics and Computers in Simulation, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sejong Bae +4 more
openaire +3 more sources