Results 341 to 350 of about 3,145,580 (383)
Some of the next articles are maybe not open access.
2019
Exact Poisson regression is presented. It can be used when outcomes are too rare to justify normality assumptions for P-values and confidence intervals. Mid-P values are an option. Median unbiased estimates are discussed. They can be useful for perfect predictors.
openaire +2 more sources
Exact Poisson regression is presented. It can be used when outcomes are too rare to justify normality assumptions for P-values and confidence intervals. Mid-P values are an option. Median unbiased estimates are discussed. They can be useful for perfect predictors.
openaire +2 more sources
Journal of Computational and Applied Mathematics, 2021
Ulduz Mammadova, M. Özkale
semanticscholar +1 more source
Ulduz Mammadova, M. Özkale
semanticscholar +1 more source
AIP Conference Proceedings, 2016
Poisson regression has been used if the response variable is count data that based on the Poisson distribution. The Poisson distribution assumed equal dispersion. In fact, a situation where count data are over dispersion or under dispersion so that Poisson regression inappropriate because it may underestimate the standard errors and overstate the ...
openaire +2 more sources
Poisson regression has been used if the response variable is count data that based on the Poisson distribution. The Poisson distribution assumed equal dispersion. In fact, a situation where count data are over dispersion or under dispersion so that Poisson regression inappropriate because it may underestimate the standard errors and overstate the ...
openaire +2 more sources
Limited Dependent Poisson Regression
The Statistician, 1992The paper introduces aspects of statistical inference in Poisson regression models, with a dependent variable subject to truncation and/or censoring.
openaire +2 more sources
Compound Poisson Regression Models
1982Count data are easily modelled in GLIM using the Poisson distribution. However, in modelling such data the counts are often aggregated over one or more factors, or important explanatory variables are unavailable and as a result the fit obtained is often poor.
openaire +2 more sources
Modelling the impact of High Speed Rail on tourists with Geographically Weighted Poisson Regression
, 2020F. Pagliara, F. Mauriello
semanticscholar +1 more source