Results 271 to 280 of about 292,203 (329)
Scaling‐Aware Rating of Poisson‐Limited Demand Forecasts
Journal of Forecasting, EarlyView.ABSTRACT Forecast quality should be assessed in the context of what is possible in theory and what is reasonable to expect in practice. Often, one can identify an approximate upper bound to a probabilistic forecast's sharpness, which sets a lower, not necessarily achievable, limit to error metrics.
Malte C. Tichy +4 more
wiley +1 more source
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Understanding Poisson Regression
Journal of Nursing Education, 2014Nurse investigators often collect study data in the form of counts. Traditional methods of data analysis have historically approached analysis of count data either as if the count data were continuous and normally distributed or with dichotomization of the counts into the categories of occurred or did not occur.
Matthew J, Hayat, Melinda, Higgins
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Double Poisson-Tweedie Regression Models
The International Journal of Biostatistics, 2019AbstractIn this paper, we further extend the recently proposed Poisson-Tweedie regression models to include a linear predictor for the dispersion as well as for the expectation of the count response variable. The family of the considered models is specified using only second-moments assumptions, where the variance of the count response has the formμ ...
Ricardo R. Petterle +5 more
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Subset Selection in Poisson Regression
Journal of Statistical Theory and Practice, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sakate, D. M. +2 more
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1992
It is well-known among applied researchers that the assumption of equality of conditional mean and variance in the Poisson model is rather restrictive, especially that there is a tendency for too low standard errors in case of overdispersion. Pre-tests or more general models have been proposed to solve the problem.
Rainer Winkelmann, Klaus F. Zimmermann
openaire +1 more source
It is well-known among applied researchers that the assumption of equality of conditional mean and variance in the Poisson model is rather restrictive, especially that there is a tendency for too low standard errors in case of overdispersion. Pre-tests or more general models have been proposed to solve the problem.
Rainer Winkelmann, Klaus F. Zimmermann
openaire +1 more source