Results 11 to 20 of about 20,066 (266)
IJAIN (International Journal of Advances in Intelligent Informatics), 2016 Poisson distribution is one of discrete distribution that is often used in modeling of rare events. The data obtained in form of counts with non-negative integers. One of analysis that is used in modeling count data is Poisson regression.
Lili Puspita Rahayu +2 more
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PENERAPAN REGRESI ZERO-INFLATED NEGATIVE BINOMIAL (ZINB) UNTUK PENDUGAAN KEMATIAN ANAK BALITA
E-Jurnal Matematika, 2013 One method of regression analysis used to analyze the count data is Poisson regression. Poisson regression requires that the mean value equal to the value of variance (equidispersion).
NI MADE SEKARMINI +2 more
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Entropy, 2022 Numerous methods have been developed for longitudinal binomial data in the literature. These traditional methods are reasonable for longitudinal binomial data with a negative association between the number of successes and the number of failures over ...
Xiaolei Zhang +3 more
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E-Jurnal Matematika, 2014 Poisson regression is a nonlinear regression that is often used to model count response variable and categorical, interval, or count regressor. This regression assumes equidispersion, i.e., the variance equals the mean.
NI MADE RARA KESWARI +2 more
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On the Overdispersed Molecular Clock [PDF]
Genetics, 1987 ABSTRACT Rates of molecular evolution at some loci are more irregular than described by simple Poisson processes. Three situations under which molecular evolution would not follow simple Poisson processes are reevaluated from the viewpoint of the neutrality hypothesis: (i) concomitant or multiple substitutions in a gene, (ii) fluctuating
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PENERAPAN REGRESI BINOMIAL NEGATIF UNTUK MENGATASI OVERDISPERSI PADA REGRESI POISSON
E-Jurnal Matematika, 2013 Poisson regression was used to analyze the count data which Poisson distributed. Poisson regression analysis requires state equidispersion, in which the mean value of the response variable is equal to the value of the variance.
PUTU SUSAN PRADAWATI +2 more
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Anthelmintic Treatment and the Stability of Parasite Distribution in Ruminants
Animals, 2023 Parasites are generally overdispersed among their hosts, with far-reaching implications for their population dynamics and control. The factors determining parasite overdispersion have long been debated.
Eric R. Morgan +4 more
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E-Jurnal Matematika, 2013 Poisson regression can be used to analyze count data, with assuming equidispersion. However, in the case of overdispersion often occur in the count data.
DESAK PUTU PRAMI MEITRIANI +2 more
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The new Poisson mixed weighted Lindley distribution with applications to insurance claims data [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2020 Mixed Poisson distributions have been applied for overdispersed count data analysis. In this paper, an alternative mixed Poisson distribution is proposed.
Yupapin Atikankul +2 more
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Understanding the impact of correlation within pair‐bonds on Cormack–Jolly–Seber models
Ecology and Evolution, 2021 The Cormack–Jolly–Seber (CJS) model and its extensions have been widely applied to the study of animal survival rates in open populations. The model assumes that individuals within the population of interest have independent fates. It is, however, highly
Alexandru M. Draghici +2 more
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