Results 1 to 10 of about 26,052 (119)

Count Data Time Series Modelling in Julia—The CountTimeSeries.jl Package and Applications

open access: yesEntropy, 2021
A new software package for the Julia language, CountTimeSeries.jl, is under review, which provides likelihood based methods for integer-valued time series.
Manuel Stapper
doaj   +1 more source

Zero-Dependent Bivariate Poisson Distribution with Applications

open access: yesMathematics, 2023
The bivariate Poisson model is the most widely used model for bivariate counts, and in recent years, several bivariate Poisson regression models have been developed in order to analyse two response variables that are possibly correlated. In this paper, a
Najla Qarmalah, Abdulhamid A. Alzaid
doaj   +1 more source

Comparing Bayesian Spatial Conditional Overdispersion and the Besag–York–Mollié Models: Application to Infant Mortality Rates

open access: yesMathematics, 2021
In this paper, we review overdispersed Bayesian generalized spatial conditional count data models. Their usefulness is illustrated with their application to infant mortality rates from Colombian regions and by comparing them with the widely used Besag ...
Mabel Morales-Otero   +1 more
doaj   +1 more source

Too many zeros and/or highly skewed? A tutorial on modelling health behaviour as count data with Poisson and negative binomial regression

open access: yesHealth Psychology and Behavioral Medicine, 2021
Background Dependent variables in health psychology are often counts, for example, of a behaviour or number of engagements with an intervention. These counts can be very strongly skewed, and/or contain large numbers of zeros as well as extreme outliers ...
James A. Green
doaj   +1 more source

Count data models for demographic data∗ [PDF]

open access: yesMathematical Population Studies, 1994
Key demographic variables, such as the number of children and the number of marriages or divorces, can only take integer values. This papers deals with the estimation of single equation models in which the counts are regressed on a set of observed individual characteristics such as age, gender, or nationality.
Winkelmann, Rainer, Zimmermann, Klaus F
openaire   +3 more sources

The Large Arcsine Exponential Dispersion Model—Properties and Applications to Count Data and Insurance Risk

open access: yesMathematics, 2022
The large arcsine exponential dispersion model (LAEDM) is a class of three-parameter distributions on the non-negative integers. These distributions show the specific characteristics of being leptokurtic, zero-inflated, overdispersed, and skewed to the ...
Shaul K. Bar-Lev, Ad Ridder
doaj   +1 more source

MODELLING THE DETERMINANTS OF ADOPTION OF MULTIPLE CLIMATE CHANGE COPING AND ADAPTATION STRATEGIES. A MICRO ANALYSIS OF SMALLHOLDER FARMERS IN NORTHERN GHANA [PDF]

open access: yesReview of Agricultural and Applied Economics, 2020
Climate change coping and adaptation (CCCA) mechanisms have become more relevant in the north of Ghana where there is evidence of severe impacts of climate change and poverty.
Shaibu Baanni AZUMAH   +2 more
doaj   +1 more source

The discrete weighted exponential distribution and its applications [PDF]

open access: yesSongklanakarin Journal of Science and Technology (SJST), 2018
We propose a new discrete distribution namely the discrete weighted exponential (dWE) distribution. It is discretization of weighted exponential distribution.
Panpharisa Khongthip   +2 more
doaj   +1 more source

Models for Overdispersion Count Data with Generalized Distribution: An Application to Parasites Intensity

open access: yesJournal of New Theory, 2021
The Poisson regression model is widely used for count data. This model assumes equidispersion. In practice, equidispersion is seldom reflected in data. However, in real-life data, the variance usually exceeds the mean.
Burcu Durmuş, Öznur İşçi Güneri
doaj   +1 more source

The use of statistics in social sciences [PDF]

open access: yesJournal of Humanities and Applied Social Sciences, 2019
Purpose – The purpose this paper is to review some of the statistical methods used in the field of social sciences. Design/methodology/approach – A review of some of the statistical methodologies used in areas like survey methodology, official statistics,
Petros Maravelakis
doaj   +1 more source

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