Results 51 to 60 of about 1,087,600 (300)
Generalized Fiducial Inference on the Mean of Zero-Inflated Poisson and Poisson Hurdle Models [PDF]
, 2021 Zero-inflated and hurdle models are widely applied to count data possessing excess zeros, where they can simultaneously model the process from how the zeros were generated and potentially help mitigate the effects of overdispersion relative to the ...
Hannig, Jan +5 more
core +1 more source
Agribusiness, EarlyView.ABSTRACT In May 2020, China abruptly suspended imports from several major Australian beef processors, escalating a diplomatic dispute between the two countries. This trade measure disrupted one of the largest beef export relationships in the world almost overnight.
K. Aleks Schaefer, Youngjune Kim
wiley +1 more source
Acta Scientiarum: Technology, 2013 In many experimental situations the sample may present excess zero observations and generally are used probabilistic models for zero inflated to represent them.
Vanessa Siqueira Peres da Silva +2 more
doaj +1 more source
A Note on the Adaptive LASSO for Zero-Inflated Poisson Regression
Journal of Probability and Statistics, 2018 We consider the problem of modelling count data with excess zeros using Zero-Inflated Poisson (ZIP) regression. Recently, various regularization methods have been developed for variable selection in ZIP models. Among these, EM LASSO is a popular method for simultaneous variable selection and parameter estimation.
Prithish Banerjee +4 more
openaire +1 more source
A novel approach for zero-inflated count regression model: Zero-inflated Poisson generalized-Lindley linear model with applications [PDF]
, 2023 Count regression models are important statistical tools to model the discrete dependent variable with known covariates. When the dependent variable exhibits over-dispersion and inflation at zero point, the zero-inflated negative-binomial regression model
Hana Alqifari +5 more
core +1 more source
Pesticide MRLs as Trade Barriers: Evidence From Vietnam's Coffee and Rice Exporters
Agribusiness, EarlyView.ABSTRACT As tariffs have declined globally through bilateral and regional trade agreements, food safety standards have emerged as significant determinants of agricultural trade flows. This study examines the impact of maximum residue limits (MRLs) for five pesticides—Azoxystrobin, Chlorpyrifos, Chlorantraniliprole, Clothianidin, and Cyhalothrin—on ...
Nhat Mai Nguyen +2 more
wiley +1 more source
Caspian Journal of Health Research, 2018 Background: An important feature of Poisson distribution is the equality of mean and variance. However, additional zeroes in the data may cause over-dispersion in most cases, in which zero-inflated models are recommended.
Roghaye Farhadi Hassankiadeh +3 more
doaj
On Stochastic Representations of the Zero–One-Inflated Poisson Lindley Distribution
MathematicsA zero–one-inflated Poisson Lindley distribution has been introduced recently as an alternative to the zero–one-inflated Poisson distribution for describing count data with a substantial number of zeros and ones. Several stochastic representations of the
Razik Ridzuan Mohd Tajuddin +1 more
doaj +1 more source
, 2022 95% confidence interval for statistically significant factors in the Poisson, CMP, and zero-inflated models.
Sangdao Wongsai (14134819) +3 more
core +1 more source
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
Advanced Intelligent Discovery, EarlyView.This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source