Results 81 to 90 of about 2,674 (172)
Word Length in Political Public Speaking: Distribution and Time Evolution
In this paper, word length in the texts of public speeches by USA and UK politicians is analyzed. More than 300 speeches delivered over the past two hundred years were studied. It is found that the lognormal distribution better describes the distribution
Natalia L. Tsizhmovska +1 more
doaj +1 more source
On Metric Choice in Dimension Reduction for Fréchet Regression
Summary Fréchet regression is becoming a mainstay in modern data analysis for analysing non‐traditional data types belonging to general metric spaces. This novel regression method is especially useful in the analysis of complex health data such as continuous monitoring and imaging data.
Abdul‐Nasah Soale +3 more
wiley +1 more source
Biases in the Maximum Simulated Likelihood Estimation of the Mixed Logit Model
In a recent study, it was demonstrated that the maximum simulated likelihood (MSL) estimator produces significant biases when applied to the bivariate normal and bivariate Poisson-lognormal models.
Maksat Jumamyradov +3 more
doaj +1 more source
Count data analysis is essential across diverse fields, from ecology and accident analysis to single-cell RNA sequencing (scRNA-seq) and metagenomics. While log transformations are computationally efficient, model-based approaches such as the Poisson-Log-Normal (PLN) model provide robust statistical foundations and are more amenable to extensions.
Batardière, Bastien +2 more
openaire +3 more sources
The Wells–Riley Model Revisited II: Parameter Uncertainty and Population Heterogeneity
ABSTRACT In this work, we revisit the Wells–Riley model, which has been widely used to estimate airborne infection risk in indoor settings. In particular, we consider a probabilistic (i.e., “stochastic”) framework of the Wells–Riley model which allows one to quantify infection risk in terms of the per‐capita probability of infection for each ...
Marcus Marshall +7 more
wiley +1 more source
Stage duration distributions in matrix population models
Matrix population models are a standard tool for studying stage‐structured populations, but they are not flexible in describing stage duration distributions. This study describes a method for modeling various such distributions in matrix models.
Toshinori Okuyama
doaj +1 more source
Shotgun cellular systems (SCSs) are stochastic models of wireless networks where base stations (BSs) are randomly deployed across spatial settings of dimension one, two, or three, under a Poisson point process (PPP).
Ali Mohammad Khodadoust +2 more
doaj +1 more source
As the primary collision patterns on China’s freeways, in-depth exploration of the influencing factors of rear-end and sideswipe crashes has long been crucial for implementing targeted countermeasures.
Jianluo Wei +4 more
doaj +1 more source
Critical ground time in organ, tissue, and team transport missions of the Brazilian Air Force exhibits substantial variability, creating a gap between deterministic fatigue-management assumptions and observed aeromedical operations.
Bruno Santos Luiz +2 more
doaj +1 more source
Bayesian Poisson‐Lognormal Regression With Compositional Effect Shares for Multivariate Count Data
ABSTRACT Multivariate count data are central in community ecology and related fields, where interest lies in how environmental gradients and management actions jointly shape the abundances of many taxa. The Poisson‐lognormal (PLN) model is a natural workhorse in this setting, accommodating overdispersion and cross‐
openaire +1 more source

