Results 21 to 30 of about 16,168 (180)

Reparametrization of COM–Poisson regression models with applications in the analysis of experimental data [PDF]

Statistical Modelling, 2019
The COM–Poisson distribution is a two-parameter generalization of the Poisson distribution that can deal with under-, equi- and overdispersed count data. Unfortunately, its location parameter does not correspond to the expectation, which complicates the parameter interpretation. In this article, we propose a straightforward reparametrization of the COM–
Ribeiro, Eduardo E. jun., Zeviani, Walmes M., Wagner, H. Bonat, Demetrio, Clarice G. B., Hinde, John   +4 more
openaire   +3 more sources

A Tree-Based Semi-Varying Coefficient Model for the COM-Poisson Distribution [PDF]

Journal of Computational and Graphical Statistics, 2020
We propose a tree-based semi-varying coefficient model for the Conway-Maxwell- Poisson (CMP or COM-Poisson) distribution which is a two-parameter generalization of the Poisson distribution and is flexible enough to capture both under-dispersion and over-dispersion in count data.
Chatla, Suneel Babu, Shmueli, Galit
openaire   +2 more sources

Comparison of Inferential Methods for a Novel CMP Model

Engineering Proceedings
In many real-life instances, time series of counts are often exposed to the dispersion phenomenon while at the same time being influenced by some explanatory variables.
Yuvraj Sunecher, Naushad Mamode Khan
doaj   +1 more source

Integral form of the COM–Poisson renormalization constant

Statistics & Probability Letters, 2016
In this brief note an integral expression is presented for the COM-Poisson renormalization constant $Z(λ, ν)$ on the real axis.
openaire   +5 more sources

Predicting Censored Count Data with COM-Poisson Regression [PDF]

SSRN Electronic Journal, 2010
Censored count data are encountered in many applications, often due to a data collection mechanism that introduces censoring. A common example is questionnaires with question answers of the type 0,1,2,3. We consider the problem of predicting a censored output variable Y, given a set of complete predictors X.
Kimberly F. Sellers, Galit Shmueli
openaire   +1 more source

Conway-Maxwell-Poisson model fitting to HFMD data in Malaysia

Data Analytics and Applied Mathematics
Since the first Hand, Foot and Mouth Disease (HFMD) outbreak occurred in Sarawak, Malaysia in 1997, the number of reported cases has remained in a cyclical pattern. Numerous HFMD research involve clinical and laboratory findings.
Noraishah Mohammad Sham, Wooi Chen Khoo   +1 more
doaj   +1 more source

Association between particulate matter air pollution and monthly inhalation and nebulization procedures in Ribeirão Preto, São Paulo State, Brazil Associação entre a poluição atmosférica por material particulado e contagens mensais de procedimentos de inalação e nebulização em Ribeirão Preto, São Paulo, Brasil

Cadernos de Saúde Pública, 2012
The study was designed to investigate the impact of air pollution on monthly inhalation/nebulization procedures in Ribeirão Preto, São Paulo State, Brazil, from 2004 to 2010. To assess the relationship between the procedures and particulate matter (PM10)
Estela Cristina Carneseca, Jorge Alberto Achcar, Edson Zangiacomi Martinez   +2 more
doaj   +1 more source

Goodness-of-Fit Tests for COM-Poisson Distribution Using Stein's Characterization

Austrian Journal of Statistics
A crucial part of data analysis is to assess the adequacy of the fit of the probability models used, and such assessment is generally made using the goodness-of-fit tests.
Traison T, V S Vaidyanathan
doaj   +1 more source

Métodos para estimar razão de prevalência em estudos de corte transversal Métodos para estimar razón de prevalencia en estudios de cohorte transversal Methods for estimating prevalence ratios in cross-sectional studies

Revista de Saúde Pública, 2008
OBJETIVO: Comparar empiricamente as regressões de Cox, log-binomial, Poisson e logística para estimar razões de prevalência em estudos de corte transversal.
Leticia M S Coutinho, Marcia Scazufca, Paulo R Menezes   +2 more
doaj   +1 more source

Models of DG‐Carbon Bands in Raman Spectra: Effects of Basis Functions and Initial Values on the Uniqueness and S/N of Fits Obtained for Atmospheric Aerosol Using Automated Methods

Journal of Raman Spectroscopy, EarlyView.
Raman spectra containing D/G features are fit using combinations of basis functions and initial conditions. Fits with two Lorentzian functions converged to a single optimized fit even with variation of initial peak positions. For five‐band fits, sometimes the final fit varied with initial conditions, and constraints on peak center position were ...
David C. Doughty, Steven C. Hill
wiley   +1 more source