Results 1 to 10 of about 26,443,777 (315)

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

Are Composition Surveys for Mule Deer Along Roads or From Helicopters Biased? Lessons from the Field

open access: yesWildlife Society Bulletin, 2020
Monitoring sex and age ratios (i.e., population composition) is common practice in deer (Odocoileus spp.) management because these estimates are used to determine population vital rates, as well as assess effects of hunting regulations and other ...
Mary M. Conner, Jane S. McKeever
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

An empirical assessment of the effects of the 1994 In Trust Agreements on IRRI Germplasm Acquisition and Distribution

open access: yesInternational Journal of the Commons, 2009
The objective of this paper is to assess the possible influence of the 1994 In Trust Agreements (ITAs) on acquisition and distribution of germplasm held by the International Research Rice Institute (IRRI) genebank.
Elisabetta Gotor, Francesco Caracciolo
doaj   +1 more source

The zero-truncated discrete transmuted generalized inverse Weibull distribution and its applications [PDF]

open access: yesSongklanakarin Journal of Science and Technology (SJST), 2021
In this article, a new distribution for count data analysis is introduced. Firstly, the Discrete Transmuted Generalized Inverse Weibull distribution (DTGIW) is constructed. Consequently, some useful sub-models are discussed.
Atchanut Rattanalertnusorn   +1 more
doaj   +1 more source

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

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

New statistical process control charts for overdispersed count data based on the Bell distribution [PDF]

open access: yesAnais da Academia Brasileira de Ciências, 2023
Poisson distribution is a popular discrete model used to describe counting information, from which traditional control charts involving count data, such as the c and u charts, have been established in the literature.
LAION L. BOAVENTURA   +4 more
doaj   +1 more source

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