Distributions to model overdispersed count data
S Coly, AF Yao, D Abrial… - Journal de la Société …, 2016 - numdam.org
In the early twentieth century, only a few count distributions (binomial and Poisson
distributions) were commonly used in modeling. These distributions fail to model bimodal or …
distributions) were commonly used in modeling. These distributions fail to model bimodal or …
Identifying traffic accident black spots with Poisson-Tweedie models
This paper aims at the identification of black spots for traffic accidents, ie locations with
accident counts beyond what is usual for similar locations, using spatially and temporally …
accident counts beyond what is usual for similar locations, using spatially and temporally …
Asymptotic Scaling of Optimal Cost and Asymptotic Optimality of Base-Stock Policy in Several Multidimensional Inventory Systems
We consider three classes of inventory systems under long-run average cost:(i) periodic-
review systems with lost sales, positive lead times, and a nonstationary demand process;(ii) …
review systems with lost sales, positive lead times, and a nonstationary demand process;(ii) …
[PDF][PDF] Inference for the Weibull distribution based on fuzzy data
Classical estimation procedures for the parameters of Weibull distribution are based on
precise data. It is usually assumed that observed data are precise real numbers. However …
precise data. It is usually assumed that observed data are precise real numbers. However …
Application of the Poisson-Tweedie distribution in analyzing crash frequency data
This paper describes a study that applies the Poisson-Tweedie distribution in developing
crash frequency models. The Poisson-Tweedie distribution offers a unified framework to …
crash frequency models. The Poisson-Tweedie distribution offers a unified framework to …
Infinitely divisible distributions in integer‐valued GARCH models
E Gonçalves, N Mendes‐Lopes… - Journal of Time Series …, 2015 - Wiley Online Library
We propose an integer‐valued stochastic process with conditional marginal distribution
belonging to the class of infinitely divisible discrete probability laws. With this proposal, we …
belonging to the class of infinitely divisible discrete probability laws. With this proposal, we …
Fishnet model with order statistics for tail probability of failure of nacreous biomimetic materials with softening interlaminar links
The staggered (or imbricated) lamellar “brick-and-mortar” nanostructure of nacre endows
nacre with strength and fracture toughness values exceeding by an order of magnitude …
nacre with strength and fracture toughness values exceeding by an order of magnitude …
Compound truncated Poisson gamma distribution for understanding multimodal SAR intensities
ADC Nascimento, LC Rêgo… - Journal of Applied Statistics, 2023 - Taylor & Francis
In recent years, many works have addressed the proposal of new probability models by
theoretic and applied reasons. Specifically, mixture models have been indicated to describe …
theoretic and applied reasons. Specifically, mixture models have been indicated to describe …
Survival functions for the frailty models based on the discrete compound Poisson process
N Ata, G Özel - Journal of Statistical Computation and Simulation, 2013 - Taylor & Francis
Frailty models are often used to model heterogeneity in survival analysis. The distribution of
the frailty is generally assumed to be continuous. In some circumstances, it is appropriate to …
the frailty is generally assumed to be continuous. In some circumstances, it is appropriate to …
Geometric Poisson distribution of photons produced in the ultrarelativistic hadronic collisions
RR Nair, G Wilk, Z Włodarczyk - The European Physical Journal A, 2023 - Springer
We show that the multiplicity distribution of photons produced with enhanced void probability
in inelastic proton-proton collisions at s= 900 GeV, 2.76 TeV, and 7 TeV, measured at …
in inelastic proton-proton collisions at s= 900 GeV, 2.76 TeV, and 7 TeV, measured at …