Results 141 to 150 of about 2,674 (172)
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Collision prediction models using multivariate Poisson-lognormal regression
Accident Analysis and Prevention, 2009This paper advocates the use of multivariate Poisson-lognormal (MVPLN) regression to develop models for collision count data. The MVPLN approach presents an opportunity to incorporate the correlations across collision severity levels and their influence on safety analyses.
Karim El-Basyouny, Tarek Sayed
exaly +3 more sources
Transportmetrica A: Transport Science, 2019
Several studies have shown that the Poisson-lognormal (PLN) offers a better alternative compared to the Poisson-gamma (PG) when data are skewed while the PG is a more reliable option otherwise.
Mohammadali Shirazi, Dominique Lord
exaly +2 more sources
Several studies have shown that the Poisson-lognormal (PLN) offers a better alternative compared to the Poisson-gamma (PG) when data are skewed while the PG is a more reliable option otherwise.
Mohammadali Shirazi, Dominique Lord
exaly +2 more sources
The poisson-lognormal model for bibliometric/scientometric distributions
Information Processing and Management, 1994Abstract The Poisson-lognormal model assumes that the intensity parameter of a Poisson process has a lognormal distribution in a sample of observations. This model can yield highly skewed, discrete distributions, but must be estimated by numerical methods.
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Food Control, 2011
Abstract In modelling risk management strategies (i.e., acceptance sampling plans, statistical process control), two basic assumptions have been normally made: that the true concentration of microorganisms are log-normally distributed within a batch , and that the variance of the samples is the same for a little or highly contaminated lot .
Ursula Gonzales-Barron, Francis Butler
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Abstract In modelling risk management strategies (i.e., acceptance sampling plans, statistical process control), two basic assumptions have been normally made: that the true concentration of microorganisms are log-normally distributed within a batch , and that the variance of the samples is the same for a little or highly contaminated lot .
Ursula Gonzales-Barron, Francis Butler
exaly +2 more sources
American Naturalist, 2002
The joint spatial and temporal fluctuations in the community structure of tropical butterflies are analyzed by fitting the bivariate Poisson lognormal distribution to a large number of observations in space and time. By applying multivariate dependent diffusions for describing the fluctuations in the abundances, the environmental variance is estimated ...
Russell Landé, Philip J Devries
exaly +3 more sources
The joint spatial and temporal fluctuations in the community structure of tropical butterflies are analyzed by fitting the bivariate Poisson lognormal distribution to a large number of observations in space and time. By applying multivariate dependent diffusions for describing the fluctuations in the abundances, the environmental variance is estimated ...
Russell Landé, Philip J Devries
exaly +3 more sources
Multivariate Poisson Lognormal Modeling of Weather-Related Crashes on Freeways
Transportation Research Record: Journal of the Transportation Research Board, 2018Adverse weather conditions are one of the primary causes of motor vehicle crashes. To identify the factors contributing to crashes during adverse weather conditions and recommend cost-effective countermeasures, it is necessary to develop reliable crash prediction models to estimate weather-related crash frequencies.
Kai Wang, Shanshan Zhao, Eric Jackson
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On robustness of maximum likelihood estimates for Poisson-lognormal models
Statistics & Probability Letters, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Weems, K. S., Smith, P. J.
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Performance analysis of poisson cellular networks with lognormal shadowed Rayleigh fading
2014 IEEE International Conference on Communications (ICC), 2014This paper analyzes downlink coverage probability and spectral efficiency of Poisson cellular networks with lognormal shadowed Rayleigh fading, provided each user is associated to the closest base station (BS). Both location-dependent and cell area wide aspects of the coverage probability and spectral efficiency metrics are presented.
Xiaobin Yang, Abraham O. Fapojuwo
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Accident Analysis & Prevention, 2020
Reducing nonmotorized crashes requires a profound understanding of the causes and consequences of the crashes at the facility level. Generally, existing literature on bicyclists and pedestrian crash models suffers from two distinct problems: lack of exposure/volume data and inadequacy in capturing potential correlations across various crash aspects. To
Sirajum, Munira +2 more
openaire +2 more sources
Reducing nonmotorized crashes requires a profound understanding of the causes and consequences of the crashes at the facility level. Generally, existing literature on bicyclists and pedestrian crash models suffers from two distinct problems: lack of exposure/volume data and inadequacy in capturing potential correlations across various crash aspects. To
Sirajum, Munira +2 more
openaire +2 more sources
Methods for fitting the Poisson-lognormal distribution to microbial testing data
Food Control, 2012The Poisson distribution can be used to describe the number of microorganisms in a serving of food, but in most food-safety applications, the variability of the Poisson distribution is insufficient to describe the heterogeneity in microbial contamination across the population of all servings.
Michael S. Williams, Eric D. Ebel
openaire +1 more source