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Estimating the change in soccer’s home advantage during the Covid-19 pandemic using bivariate Poisson regression [PDF]
AStA Advances in Statistical Analysis, 2020 In wake of the Covid-19 pandemic, 2019–2020 soccer seasons across the world were postponed and eventually made up during the summer months of 2020. Researchers from a variety of disciplines jumped at the opportunity to compare the rescheduled games ...
Luke S. Benz, Michael J. Lopez
semanticscholar +1 more source
A New Poisson Generalized Lindley Regression Model
Austrian Journal of Statistics, 2023 In this paper, a new count distribution is introduced. It is a mixture of the Poisson and generalized Lindley distributions. Statistical properties of the proposed distribution including the factorial moments, probability generating function, moment ...
Yupapin Atikankul
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OVERDISPERSION HANDLING IN POISSON REGRESSION MODEL BY APPLYING NEGATIVE BINOMIAL REGRESSION
Barekeng, 2023 Statistical analysis that can be used if the response variable is quantified data is Poisson regression, assuming that the assumption must be met equidispersion, where the average response variable is the same as the standard deviation value.
Yesan Tiara +3 more
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Bayesian regression of piecewise homogeneous Poisson processes [PDF]
Papers in Physics, 2015 In this paper, a Bayesian method for piecewise regression is adapted to handle counting processes data distributed as Poisson. A numerical code in Mathematica is developed and tested analyzing simulated data.
Diego Sevilla
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Modelling children ever born using performance evaluation metrics: A dataset
Data in Brief, 2021 Predicting the number of total children ever born in a country is a key component for proper implementation of economic growth policy. Here, performance metrics were used to predict models that appropriately describe the factors that affect children ever
Jecinta U. Ibeji +3 more
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E-Jurnal Matematika, 2013 The Poisson regression is generally used to analyze the response variable that is a discrete data. Poisson regression has assumption which must be met, that is condition equidispersion.
I PUTU YUDANTA EKA PUTRA +2 more
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Evolutionary support vector regression for monitoring Poisson profiles
Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2023 Many researchers have shown interest in profile monitoring; however, most of the applications in this field of research are developed under the assumption of normal response variable.
A. Yeganeh +4 more
semanticscholar +1 more source
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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POISSON REGRESSION MODELLING OF AUTOMOBILE INSURANCE USING R
Barekeng, 2022 Automobile insurance benefits are protecting the vehicle and minimizing customer losses. Insurance companies must provide funds to pay customer claims if a claim occurs. Insurance claims can be modelled by Poisson regression.
Sandy Vantika +2 more
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Robust designs for Poisson regression models [PDF]
, 2011 We consider the problem of how to construct robust designs for Poisson regression models. An analytical expression is derived for robust designs for first-order Poisson regression models where uncertainty exists in the prior parameter estimates.
Ford I. +5 more
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