Results 11 to 20 of about 18,958 (230)
What is the Best Spatial Distribution to Model Base Station Density? A Deep Dive into Two European Mobile Networks [PDF]
IEEE Access, 2016 This paper studies the base station (BS) spatial distributions across different scenarios in urban, rural, and coastal zones, based on real BS deployment data sets obtained from two European countries (i.e., Italy and Croatia).
Luca Chiaraviglio +8 more
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Population counts along elliptical habitat contours: hierarchical modelling using Poisson-lognormal mixtures with nonstationary spatial structure [PDF]
The Annals of Applied Statistics, 2015 Ecologists often interpret variation in the spatial distribution of populations in terms of responses to environmental features, but disentangling the effects of individual variables can be difficult if latent effects and spatial and temporal correlations are not accounted for properly.
Alexandra M. Schmidt +2 more
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, 2022 En analyse unicellulaire, il est habituel de traiter des observations non gaussiennes de grande dimension. Un exemple typique est la distribution de comptage transcriptomique unicellulaire brute, qui vise à comprendre les covariations entre l'activité de chaque gène (nombre de fois où le gène est exprimé) dans chaque cellule.
Bastien Batardière +3 more
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Journal of Biostatistics and Epidemiology, 2018 Background & Aim: Statistical modeling is one of the most suitable methods for analyzing the relationship between health and medical issues. In the situation of analysis of zero-inflated data, there are different methods.
Farzaneh Neysari +2 more
doaj +1 more source
Recovering the non-linear density field from the galaxy distribution with a Poisson-lognormal filter [PDF]
, 2010 17 pages, 9 figures, 1 ...
Francisco-Shu Kitaura +2 more
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Evaluating Parameter Uncertainty in the Poisson Lognormal Model with Corrected Variational Estimators [PDF]
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.
Bastien Batardière +2 more
openalex +3 more sources
The powerbend distribution provides a unified model for the species abundance distribution across animals, plants and microbes [PDF]
Nature CommunicationsRemarkably, almost every ecological community investigated to date is composed of many rare species and a few abundant species. While the precise nature of this species abundance distribution is believed to reflect fundamental ecological principles ...
Yingnan Gao, Ahmed Abdullah, Martin Wu
doaj +2 more sources
BIMA JOURNAL OF SCIENCE AND TECHNOLOGY GOMBERoad Traffic Crash has been a serious problem on major roads in Nigeria. Different models have been used to predict accident on these roads but no unique model has been arrived at. In this article, three statistical models: Poisson Regression, Negative Binomial and the Poisson Lognormal were compared to determine the best fit on the road accident data ...
Ben Esther Ofunu +2 more
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UM MODELO POISSON-LOGNORMAL PARA PREVISÃO DA QUANTIDADE IBNR VIA MICRO-DADOS [PDF]
, 2015 JULIANA FERNANDES DA COSTA MACEDO
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MethodsX, 2021 In Barcelona, Advanced Stop Lines (ASL) for motorcycles, were implemented since 2009. This paper aims to describe the process followed in determining the best statistical model to analyse the effectiveness of ASL in preventing road traffic injury ...
Elena Santamariña-Rubio +1 more
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