Results 11 to 20 of about 2,565,964 (296)
Southwest Respiratory and Critical Care Chronicles, 2015 Shengping Yang, Gilbert Berdine
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Robust Designs for Poisson Regression Models [PDF]
Technometrics, 2012 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.Given certain constraints in themethodology, itmay be necessary to extend the robust designs for ...
James M. McGree, John A. Eccleston
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American Journal of Orthodontics and Dentofacial Orthopedics, 2017 In this article, we will describe how to analyze the data used in our previous article1 regarding implant failures with Poisson regression. We are interested in examining whether the rate of implant failure is different between smokers and nonsmokers. In
Koletsi D, Pandis N
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Comparison of univariate and bivariate Poisson regression methods in the analysis of determinants of female schooling and fertility in Malawi [PDF]
BMC Public HealthRecent research has established existence of a correlation between women’s education and fertility, suggesting that they share similar risk factors. However, in many studies, the two variables were analysed separately, which could bias the conclusions by
Eneles Mponda, Tsirizani Mwalimu Kaombe
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Poisson regression model with change points [PDF]
Journal of Applied Research on Industrial Engineering, 2021 There are many different fields the change point analysis arises. In those cases, the main problem is locating the unknown change points. The aim of this study is to detect location and time of change point in Poisson regression model.
Reza Habibi
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Barekeng, 2022 Traffic accidents that always increase along with the increasing population growth and the number of vehicles impact the national economy. The number of traffic accidents is a count data that a Poisson distribution can approximate. The Poisson regression
M Al Haris, Prizka Rismawati Arum
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Covid-19 Data Analysis in Tarakan with Poisson Regression and Spatial Poisson Process
Cauchy: Jurnal Matematika Murni dan Aplikasi, 2023 COVID-19 entered Indonesia in March 2020 and included North Kalimantan Province, Tarakan. COVID-19 cases have outspread in Tarakan. The cause of the outspread and the patterns were not known yet. One relevant approach was to use Generalized Linear Models.
A'yunin Sofro +2 more
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PLoS Neglected Tropical Diseases, 2021 Background Tsetse flies are the major vectors of human trypanosomiasis of the form Trypanosoma brucei rhodesiense and T.b.gambiense. They are widely spread across the sub-Saharan Africa and rendering a lot of challenges to both human and animal health ...
Albert Mugenyi +7 more
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Sparse Poisson regression via mixed-integer optimization.
PLoS ONE, 2021 We present a mixed-integer optimization (MIO) approach to sparse Poisson regression. The MIO approach to sparse linear regression was first proposed in the 1970s, but has recently received renewed attention due to advances in optimization algorithms and ...
Hiroki Saishu, Kota Kudo, Yuichi Takano
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Bayesian Hurdle Poisson Regression for Assumption Violation
Cauchy: Jurnal Matematika Murni dan Aplikasi, 2022 Violation of the Poisson regression assumption can cause the model formed will produce an unbiased estimator. There is a good method for estimating parameters on small sample sizes and on all distributions, namely the Bayesian method. The number of death
Nur Kamilah Sa'diyah +2 more
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