Implementing measurement error models with mechanistic mathematical models in a likelihood-based framework for estimation, identifiability analysis and prediction in the life sciences. [PDF]
Murphy RJ, Maclaren OJ, Simpson MJ.
europepmc +1 more source
Model-Based Analysis of Impact, Costs, and Cost-effectiveness of Tuberculosis Outbreak Investigations, United States. [PDF]
Shrestha S +9 more
europepmc +1 more source
Improving COVID-19 vaccination centre operation through computer modelling and simulation. [PDF]
Wood RM +4 more
europepmc +1 more source
Graphical interface for goodness-of-fit evaluation and clustering of probability distributions in environmental datasets. [PDF]
Reba F, Saifudin T, Hendradi R.
europepmc +1 more source
Collision prediction models using multivariate Poisson-lognormal regression
This 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
openalex +3 more sources
Maximum likelihood fitting of the Poisson lognormal distribution
In this paper some properties and analytic expressions regarding the Poisson lognormal distribution such as moments, maximum likelihood function and related derivatives are discussed. The author provides a sharp approximation of the integrals related to the Poisson lognormal probabilities and analyzes the choice of the initial values in the fitting ...
Rudolf Izsák
openalex +2 more sources
Poisson-Lognormal Distributions
The Poisson-lognormal distribution was suggested as a model for commonness of species by Preston. The analysis leading him to suggest this distribution was as follows: Suppose that the number of each species caught in a trap is assumed to be a single sample from a Poisson distribution with mean λ. R. S. Uhler and P. G.
S. A. Shaban
openalex +2 more sources
Performance analysis of poisson cellular networks with lognormal shadowed Rayleigh fading
This 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
openalex +2 more sources
Model kerugian agregat tahunan asuransi kendaraan menggunakan pendekatan Compound Poisson-Lognormal untuk mendukung perencanaan Risk-Based Capital (RBC), penentuan premi, dan strategi reasuransi. Parameter distribusi frekuensi klaim (Poisson) dan severitas klaim (Lognormal) diestimasi dari data historis, lalu digunakan dalam simulasi Monte Carlo untuk ...
Alfi Khairiati, Sri Pujiastuti
openalex +2 more sources
Related searches:
On Poisson Mixture of Lognormal Distributions
Lobachevskii Journal of Mathematics, 2020Generally, jump-diffusion processes used in finance are confined to the processes with Brownian motion, constant trend and jump component, described by compound Poisson processes (CPP). CPP is usually defined by a sum of standard normal distributions. In most applications one either needs moments or characteristic function of the process.
Kechejian, H. +2 more
openaire +2 more sources

