Competition matters: Determining the drivers of land snail community assembly among limestone karst areas in northern Vietnam
Sign Up to like & getrecommendations! Published in 2018 at "Ecology and Evolution"
DOI: 10.1002/ece3.3984
Abstract: Abstract The insular limestone karsts of northern Vietnam harbor a very rich biodiversity. Many taxa are strongly associated with these environments, and individual species communities can differ considerably among karst areas. The exact processes that… read more here.
Keywords: northern vietnam; community assembly; karst areas; overdispersion ... See more keywords
Statistical test for detecting overdispersion in offspring number based on kinship information
Sign Up to like & getrecommendations! Published in 2018 at "Population Ecology"
DOI: 10.1007/s10144-018-0629-2
Abstract: In this paper, we develop a theory of a new statistic that tests overdispersion in offspring number on the basis of exactly known kinship relationships. The statistic utilizes the sample size and the number of… read more here.
Keywords: offspring number; overdispersion; number; sample size ... See more keywords
Bayesian mortality forecasting with overdispersion
Sign Up to like & getrecommendations! Published in 2018 at "Insurance: Mathematics and Economics"
DOI: 10.1016/j.insmatheco.2017.09.023
Abstract: The ability to produce accurate mortality forecasts, accompanied by a set of representative uncertainty bands, is crucial in the planning of public retirement funds and various life-related businesses. In this paper, we focus on one… read more here.
Keywords: bayesian mortality; mortality forecasting; overdispersion; forecasting overdispersion ... See more keywords
Revisiting the analysis pipeline for overdispersed Poisson and binomial data
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2022.2026897
Abstract: Overdispersion is a common feature in categorical data analysis and several methods have been developed for detecting and handling it in generalized linear models. The first aim of this study is to clarify the relationships… read more here.
Keywords: revisiting analysis; overdispersion; pipeline overdispersed; overdispersed poisson ... See more keywords
Addressing overdispersion and zero-inflation for clustered count data via new multilevel heterogenous hurdle models
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2022.2096875
Abstract: ABSTRACT Unobserved heterogeneity causing overdispersion and the excessive number of zeros take a prominent place in the methodological development on count modeling. An insight into the mechanisms that induce heterogeneity is required for better understanding… read more here.
Keywords: heterogeneity; overdispersion zero; overdispersion; count data ... See more keywords
Time-Series Analysis of Air Pollution and Health Accounting for Covariate-Dependent Overdispersion.
Sign Up to like & getrecommendations! Published in 2018 at "American journal of epidemiology"
DOI: 10.1093/aje/kwy170
Abstract: Time-series studies are routinely used to estimate associations between adverse health outcomes and short-term exposures to ambient air pollutants. Use of the Poisson log-linear model with the assumption of constant overdispersion is the most common… read more here.
Keywords: time series; overdispersion; time; air ... See more keywords
Quantile regression for challenging cases of eQTL mapping
Sign Up to like & getrecommendations! Published in 2020 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbz097
Abstract: Mapping of expression quantitative trait loci (eQTLs) facilitates interpretation of the regulatory path from genetic variants to their associated disease or traits. High-throughput sequencing of RNA (RNA-seq) has expedited the exploration of these regulatory variants.… read more here.
Keywords: quantile regression; regression; eqtl mapping; regression challenging ... See more keywords
Estimating overdispersion in sparse multinomial data.
Sign Up to like & getrecommendations! Published in 2019 at "Biometrics"
DOI: 10.1111/biom.13194
Abstract: Multinomial data arise in many areas of the life sciences, such as mark-recapture studies and phylogenetics, and will often by overdispersed, with the variance being higher than predicted by a multinomial model. The quasi-likelihood approach… read more here.
Keywords: sparse; overdispersion; multinomial data; mark recapture ... See more keywords