Results 61 to 70 of about 42,459 (144)
The zero inflated negative binomial – Crack distribution: some properties and parameter estimation [PDF]
The zero inflated negative binomial-Crack (ZINB-CR) distribution is a mixture of Bernoulli distribution and negative binomial-Crack (NB-CR) distribution, which is an alternative distribution for the excessive zero counts and overdispersion.
Pornpop Saengthong +2 more
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Zero-inflation in the Multivariate Poisson Lognormal Family
Abstract Analyzing high-dimensional count data is a challenge and statistical model-based approaches provide an adequate and efficient framework thatpreserves explainability. The (multivariate) Poisson-Log-Normal (PLN) modelis one such model: it assumes count data are driven by an underlying structuredlatent Gaussian variable, so that the ...
Bastien Batardière +3 more
openaire +2 more sources
Negative Binomial Two-Parameter Lindley generalized linear model for modeling count data
Zero-inflated data, characterized by excessive zero counts, is a common challenge in various fields, particularly in insurance data. In most cases, count data exhibits overdispersion and excess zeros; models that fail to account for these characteristics
Samwel Karanja Kamau +3 more
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Probability of ruin in discrete insurance risk model with dependent Pareto claims
We present basic properties and discuss potential insurance applications of a new class of probability distributions on positive integers with power law tails.
Constantinescu Corina D. +2 more
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Finding the Right Distribution for Highly Skewed Zero-inflated Clinical Data
Discrete, highly skewed distributions with excess numbers of zeros often result in biased estimates and misleading inferences if the zeros are not properly addressed.
Resmi Gupta +3 more
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Communication-efficient distributed statistical inference on zero-inflated Poisson models
Zero-inflated count outcomes are common in many studies, such as counting claim frequency in the insurance industry in which identifying and understanding excessive zeros are of interest.
Ran Wan, Yang Bai
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Multi-parameter joint regression model for longitudinal zero-inflated count data
Longitudinal zero-inflated count data are gathered from a series of measurements of experimental individuals at multiple time points and possess the very characteristics of longitudinal data, count data and zero-inflated data simultaneously.The number of
YU Jing +3 more
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Inference for the Parameters of a Zero-Inflated Poisson Predictive Model
In the insurance sector, Zero-Inflated models are commonly used due to the unique nature of insurance data, which often contain both genuine zeros (meaning no claims made) and potential claims.
Min Deng +2 more
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Analysis of dental caries using generalized linear and count regression models [PDF]
Generalized linear models (GLM) are generalization of linear regression models, which allow fitting regression models to response data in all the sciences especially medical and dental sciences that follow a general exponential family. These are flexible
Javali M. Phil, Parameshwar V. Pandit
doaj
Nowadays, an important and interesting alternative in the control of tick-infestation in cattle is to select resistant animals, and identify the respective quantitative trait loci (QTLs) and DNA markers, for posterior use in breeding programs. The number
Fabyano Fonseca Silva +7 more
doaj

