Results 21 to 30 of about 64,148 (296)
Spatial event cluster detection using an approximate normal distribution
International Journal of Health Geographics, 2008 Background In geographic surveillance of disease, areas with large numbers of disease cases are to be identified so that investigations of the causes of high disease rates can be pursued.
Rosychuk Rhonda J, Torabi Mahmoud
doaj +1 more source
Zero-Inflated Patent Data Analysis Using Compound Poisson Models
Applied Sciences, 2023 A large part of big data consists of text documents such as papers, patents or articles. To analyze text data, we have to preprocess the text documents and build a structured data based on a document-word matrix using various text mining techniques. This
Sangsung Park, Sunghae Jun
doaj +1 more source
Poisson-type approximation for sums of 1-dependent indicators
Lietuvos Matematikos Rinkinys, 2009 The sum of 1-dependent indicators is approximated by compound Poisson type distribution. Estimates are obtained for the uniform Kolmogorov and local metrics.
Jūratė Petrauskienė +1 more
doaj +1 more source
On the Estimation for Compound Poisson Inarch Processes
Revstat Statistical Journal, 2021 Considering the wide class of discrete Compound Poisson INARCH models, introduced in [6], the main goal of this paper is to develop and compare parametric estimation procedures for first-order models, applicable without specifying the conditional ...
E. Gonçalves +2 more
doaj +1 more source
Multidimensional compound Poisson distributions in free probability [PDF]
Science China Mathematics, 2018 This is the final version of the paper, which will be appear in Sci. China Math.
An, Guimei, Gao, Mingchu
openaire +2 more sources
Compound Conway-Maxwell Poisson Gamma Distribution: Properties and Estimation
Austrian Journal of StatisticsThe distribution of a random sum of random events is called a compound distribution. It involves a counting (discrete) distribution to model the number of occurrences of the random event in a fixed time period and a continuous distribution to model the ...
Jahnavi Merupula, V S Vaidyanathan
doaj +1 more source
Multivariate Collective Risk Model: Dependent Claim Numbers and Panjer’s Recursion
Risks, 2020 In this paper, we discuss a generalization of the collective risk model and of Panjer’s recursion. The model we consider consists of several business lines with dependent claim numbers.
Cordelia Rudolph, Uwe Schmock
doaj +1 more source
Compound Poisson and signed compound Poisson approximations to the Markov binomial law
, 2010 Compound Poisson distributions and signed compound Poisson measures are used for approximation of the Markov binomial distribution. The upper and lower bound estimates are obtained for the total variation, local and Wasserstein norms.
Vellaisamy, P., Čekanavičius, V.
core +1 more source
On a Bivariate Poisson Negative Binomial Risk Process
Biomath, 2014 In this paper we define a bivariate counting process as a compound Poisson process with bivariate negative binomial compounding distribution. We investigate some of its basic properties, recursion formulas and probability mass function.
Krasimira Kostadinova, Leda Minkova
doaj +1 more source
, 2010 Let $X_1,X_2,...,X_n$ be a sequence of independent or locally dependent random variables taking values in $\mathbb{Z}_+$. In this paper, we derive sharp bounds, via a new probabilistic method, for the total variation distance between the distribution of ...
Boutsikas, Michael V. +1 more
core +1 more source