The Poisson regression (PR) model is inappropriate for modeling over- or under-dispersed (or inflated) data. Several generalizations of PR model have been proposed for modeling such data. In this paper, a rich family of generalized Poisson regression (GPR) models is reviewed in detail. The...

We present a nonparametric method to forecast a seasonal univariate time series, and propose four dynamic updating methods to improve point forecast accuracy. Our methods consider a seasonal univariate time series as a functional time series. We propose first to reduce the dimensionality by...

We show how appropriate rewiring with the aid of Metropolis Monte Carlo computational experiments can be exploited to create network topologies possessing prescribed values of the average path length (APL) while keeping the same connectivity degree and clustering coefficient distributions. Using...

After a brief general overview of Monte Carlo computer simulations in statistical physics, special emphasis is placed on applications to phase transitions and critical phenomena. Here, standard simulations employing local update algorithms are severely hampered by the problem of critical slowing...

The Monte Carlo programme used for the simulation of electron transport is based on a description of the samples by a layered model. The simulation accounts for the elastic scattering of electrons in selected materials and provides results to process the experimental data. In this paper, we...

The analysis of light-rays penetrating transparent media like air and water constitutes a pertinent problem in climatic research and in the development of algorithms for the retrieval of bio-geo-chemical parameters of suspended matter and dissolved pollutants from remotely sensed ocean colour...

FLUKA is a Monte Carlo code, transporting hadron and lepton cascades from several TeV down to a few keV (thermal energies for neutrons). The code is widely employed in various applications, such as particle detector design, shielding, radiation therapy, high energy physics experiments.

We address in this paper the efficient estimation of sensitivity coefficients by Monte Carlo simulations. In the context of geological performance for the risk assessment of radioactive waste repositories, a recent non-analog Monte Carlo simulation [1] based on an integral equation for the...

The zero-truncated Poisson–Lindley distribution is introduced and investigated. In particular, the method of moments and maximum likelihood estimators of the distribution’s parameter are compared in small and large samples. Application of the model to real data is given.

The Burr type III distribution allows a wider region for the skewness and kurtosis plane, which covers several distributions including: the log-logistic, the Weibull and the Burr type XII distributions. However, outliers may occur in the data set. The robust regression method has been...