‎Multivariate normal-Poisson model has been recently introduced as a special case of normal stable Tweedie models‎. ‎The model is composed of a univariate Poisson variable‎, ‎and the remaining variables given the Poisson one are independent Gaussian variables with variance the value of the Poisson component‎. ‎Two characterizations of this model are shown‎, ‎...

in this paper, by applying three functional operators the previous results on the(poisson) variance of the external profile in digital search trees will be improved. we study the profile built over $n$ binary strings generated by a memoryless source with unequal probabilities of symbols and use a combinatorial approach for studying the poissonized variance, since the probability distribution of...

background: stomach cancer has the highest prevalence of gastrointestinal cancer in iran. therefore, the aim of this study was mapping stomach cancer rate in iran using area-to-area poisson kriging.   methods: data of 336 cities in iran was analyzed that was gathered by the ministry of health and medical education (in the non-infectious diseases management center) from 2003 to 2007. area-to-are...

If data traffic were Poisson, increases in the amount of traffic aggregated on a network would rapidly decrease the relative size of bursts. The discovery of pervasive long-range dependence demonstrates that real network traffic is burstier than any possible Poisson model. We present evidence that, despite being non-Poisson, aggregating Web traffic causes it to smooth out as rapidly as Poisson ...

The Liu estimator has consistently been demonstrated to be an attractive shrinkage method for reducing the effects of multicollinearity. The Poisson regression model is a well-known model in applications when the response variable consists of count data. However, it is known that multicollinearity negatively affects the variance of the maximum likelihood estimator (MLE) of the Poisson regressio...