Multiple arbitrarily inflated negative binomial regression model and its application
Sign Up to like & getrecommendations! Published in 2024 at "Soft Computing"
DOI: 10.1007/s00500-024-09889-4
Abstract: This paper introduces a novel modification of the negative binomial distribution, which serves as a generalization encompassing both negative binomial and zero-inflated negative binomial distributions. This innovative distribution offers flexibility by accommodating an arbitrary number… read more here.
Keywords: inflated negative; negative binomial; distribution; regression model ... See more keywords
Combining zero-inflated negative binomial regression with MLRT techniques: An approach to evaluating shipping accident casualties
Sign Up to like & getrecommendations! Published in 2018 at "Ocean Engineering"
DOI: 10.1016/j.oceaneng.2018.08.011
Abstract: Abstract This study aims to develop a maximum likelihood regression tree-based (MLRT) ZINB (zero-inflated negative binomial) model to predict shipping accident mortality, and also to examine the factors which affect the loss of human life… read more here.
Keywords: regression; zero inflated; shipping accident; negative binomial ... See more keywords
Exponentially weighted moving average chart using zero-inflated negative binomial distribution
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2024.2385014
Abstract: Zero-inflated models are frequently used to deal with data having many zeros. A commonly used model for over-dispersed data containing zeros is known as the zero-inflated Poisson model. However, to account for the heterogeneity of… read more here.
Keywords: weighted moving; zero; inflated negative; exponentially weighted ... See more keywords
Robust inference in the multilevel zero-inflated negative binomial model
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2019.1636942
Abstract: ABSTRACT A popular way to model correlated count data with excess zeros and over-dispersion simultaneously is by means of the multilevel zero-inflated negative binomial (MZINB) distribution. Due to the complexity of the likelihood of these… read more here.
Keywords: robust inference; zero inflated; model; multilevel zero ... See more keywords
MZINBVA: variational approximation for multilevel zero-inflated negative-binomial models for association analysis in microbiome surveys.
Sign Up to like & getrecommendations! Published in 2021 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbab443
Abstract: As our understanding of the microbiome has expanded, so has the recognition of its critical role in human health and disease, thereby emphasizing the importance of testing whether microbes are associated with environmental factors or… read more here.
Keywords: microbiome surveys; microbiome; association; zero inflated ... See more keywords
Statistical analysis of variability in TnSeq data across conditions using zero-inflated negative binomial regression
Sign Up to like & getrecommendations! Published in 2019 at "BMC Bioinformatics"
DOI: 10.1186/s12859-019-3156-z
Abstract: BackgroundDeep sequencing of transposon mutant libraries (or TnSeq) is a powerful method for probing essentiality of genomic loci under different environmental conditions. Various analytical methods have been described for identifying conditionally essential genes whose tolerance… read more here.
Keywords: regression; variability; zero inflated; inflated negative ... See more keywords