Results 241 to 250 of about 5,073,058 (275)
Unjustified Poisson assumptions lead to overconfident estimates of the effective reproductive number. [PDF]
Epidemiol InfectNěmcová B +4 more
europepmc +1 more source
Entropic Dynamics of Jump-Diffusion Option Pricing. [PDF]
Entropy (Basel)Abedi M.
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Neuronal spiking in the mammalian forebrain is dominated by a heterogeneous ground state. [PDF]
NeuronLevenstein D +10 more
europepmc +1 more source
Development and validation of a prediction model of length of ICU stay for benchmarking: a retrospective cohort study. [PDF]
Sci RepEndo H, Hashimoto S.
europepmc +1 more source
A Bayesian estimator of the real-time case fatality rate in emerging pandemic to inform public health policy-making. [PDF]
BMC Infect DisZhang H, Lee CY, Qu Y.
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Food Control, 2011
Abstract The choice of statistical distributions characterising microbial counts is essential in risk assessment and risk management. While the lognormal distribution has been long used to directly model the microbial data obtained from food samples, it does not allow for complete absence of microorganisms in a sample.
Ursula Gonzales-Barron, Francis Butler
exaly +2 more sources
Abstract The choice of statistical distributions characterising microbial counts is essential in risk assessment and risk management. While the lognormal distribution has been long used to directly model the microbial data obtained from food samples, it does not allow for complete absence of microorganisms in a sample.
Ursula Gonzales-Barron, Francis Butler
exaly +2 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
Sigmae, 2022
A análise usual para dados discretos é através de uma distribuição de Poisson, Binomial ou Binomial Negativa, via Modelos Lineares Generalizados (MLG). Entretanto, um dos cuidados que se deve ter ao fazer a análise de dados discretos, é com a superdispersão.
Silvia Maria de Freitas +1 more
openaire +1 more source
A análise usual para dados discretos é através de uma distribuição de Poisson, Binomial ou Binomial Negativa, via Modelos Lineares Generalizados (MLG). Entretanto, um dos cuidados que se deve ter ao fazer a análise de dados discretos, é com a superdispersão.
Silvia Maria de Freitas +1 more
openaire +1 more source
Statistics in Medicine, 2023
A priori estimation of sample size and subject accrual in multi‐site, time‐to‐event clinical trials is often challenging. Such trials are powered based on the number of events needed to detect a clinically significant difference. Sample size based on number of events relates to the expected duration of observation time for each subject.
Virginia B. Shipes +6 more
openaire +3 more sources
A priori estimation of sample size and subject accrual in multi‐site, time‐to‐event clinical trials is often challenging. Such trials are powered based on the number of events needed to detect a clinically significant difference. Sample size based on number of events relates to the expected duration of observation time for each subject.
Virginia B. Shipes +6 more
openaire +3 more sources