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PeerJ (San Francisco, CA), ISSN 2167-8359, 2018, Volume 6, Issue 5, p. e4794
The use of linear mixed effects models (LMMs) is increasingly common in the analysis of biological data. Whilst LMMs offer a flexible approach to modelling a... 
GLMM | Overdispersion | Mixed effects models | Model selection | Model averaging | Collinearity | Multi-model inference | Random effects | AIC | Type I error | PRACTICAL GUIDE | INFORMATION | MULTIDISCIPLINARY SCIENCES | PROTOCOL | BEHAVIORAL ECOLOGY | SELECTION | VARIABLE IMPORTANCE
Journal Article
Journal of Statistical Software, ISSN 1548-7660, 2017, Volume 78, Issue 5, pp. 1 - 33
Journal Article
Journal of Applied Ecology, ISSN 0021-8901, 2007, Volume 45, Issue 1, pp. 218 - 227
1. The ability to identify key ecological processes is important when solving applied problems. Increasingly, ecologists are adopting Akaike's information... 
Maximum likelihood estimation | Models in Ecology | Ecological modeling | Ecological genetics | Inference | Ecology | Plants | Human ecology | Applied ecology | Modeling | Parametric models | model selection | quasi‐likelihood | AIC | overdispersion | QAIC | Quasi-likelihood | Overdispersion | Model selection | RESPONSES | CALL | ECOLOGY | BIODIVERSITY CONSERVATION | quasi-likelihood
Journal Article
Statistical Applications in Genetics and Molecular Biology, ISSN 2194-6302, 05/2011, Volume 10, Issue 1, pp. 1 - 28
We propose a new statistical test for assessing differential gene expression using RNA sequencing (RNA-Seq) data. Commonly used probability distributions, such... 
Poisson | negative binomial | RNA-Seq | overdispersion | STATISTICS & PROBABILITY | BIOCHEMISTRY & MOLECULAR BIOLOGY
Journal Article
Fimbriaria fasciolaris and Cloacotaenia megalops (Eucestoda, Hymenolepididae), Cestodes from Brazilian Waterfowl, 12/1998
Two cestode species, Fimbriaria fasciolaris (Pallas, 1781) Frölich, 1802 Cloacotaenia megalops (Nitzsch in Creplin, 1829) Wolffhügel,1938 collected from Anas... 
Fimbriaria fasciolaris - Cloacotaenia megalops - Anatidae - key characters - overdispersion distribution - Brazil
Journal
Manufacturing & service operations management, ISSN 1526-5498, 2014, Volume 16, Issue 3, pp. 464 - 480
Journal Article
Communications in Statistics - Simulation and Computation, ISSN 0361-0918, 07/2018, Volume 47, Issue 6, pp. 1722 - 1738
Overdispersion is a problem encountered in the analysis of count data that can lead to invalid inference if unaddressed. Decision about whether data are... 
62Fxx | outliers | Count data | Pearson chi-square | overdispersion | zero inflation | TESTS | REGRESSION-MODELS | DETECTING OVERDISPERSION | STATISTICS & PROBABILITY | GENERALIZED LINEAR-MODELS | Economic models | Statistical analysis | Computer simulation | Outliers (statistics) | Data sets | Statistical tests | Empirical analysis | 62J12
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 04/2018, Volume 18, pp. 1 - 44
Learning DAG or Bayesian network models is an important problem in multi-variate causal inference. However, a number of challenges arises in learning... 
Bayesian Networks | Identifiability | Multi-variate Count Distribution | Overdispersion | Directed Acyclic Graph | SELECTION | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Journal of the Royal Society interface, ISSN 1742-5662, 2017, Volume 14, Issue 134, p. 20170213
The coefficient of determination R-2 quantifies the proportion of variance explained by a statistical model and is an important summary statistic of biological... 
REGRESSION | OVERDISPERSION | GENETIC-ANALYSIS | PRACTICAL GUIDE | MULTIDISCIPLINARY SCIENCES | model fit | INFERENCE | heritability | repeatability | reliability analysis | ECOLOGY | VARIANCE | goodness of fit | TRAITS | variance decomposition | Models, Biological
Journal Article
Ecology letters, ISSN 1461-0248, 2009, Volume 12, Issue 9, pp. 949 - 960
Journal Article