Results 41 to 50 of about 4,654,667 (290)

Comparing Zero-inflated Poisson, Zero-inflated Negative Binomial and Zero-inflated Geometric in Count Data with Excess Zero

Asian Journal of Probability and Statistics, 2019
Count data often violate the assumptions of a normal distribution due to the fact that they are bounded by their lowest value which is zero. The Poison distribution is sometimes suggested but when the assumption of equal mean and variance is violated due to over-dispersion and presence of zeros we tend to look in the direction of other models.
R. A. Ipinyomi, M. I. Adarabioyo
openaire   +2 more sources

Zero-inflated negative binomial multivariable model of decayed-missing-filled teeth (DMFT) score (N = 311).

, 2016
Zero-inflated negative binomial multivariable model of decayed-missing-filled teeth (DMFT) score (N = 311).
Stephen S. Dominy (549343), Anna-Barbara Moscicki (232529), Tzy-Jyun Yao (2833829), Russell B. Van Dyke (2833826), George R. Seage III (250740), Rohan Hazra (1996294), Kunjal Patel (497094), Matt McKenna (2833832), Mark I. Ryder (167587), Jonathan S. Russell (2833835)   +9 more
core   +1 more source

Results of the analysis using zero inflated negative binomial model (ZINB) model.

, 2020
Results of the analysis using zero inflated negative binomial model (ZINB) model.
Patrick Shea (2652064), Caroline Chisenga (7136924), Victor Mukonka (344847), David Sack (148746), Orbrie Chewe (7329638), John Mwaba (4720485), Geoffrey Kwenda (6760319), Roma Chilengi (95946), Mohammad Ali (73095), Michelo Simuyandi (634492), Amanda K. Debes (8713959)   +10 more
core   +1 more source

scGEN: Leveraging an Adaptive Weighting Strategy for Challenging Cell Clustering in Single‐Cell RNA‐seq

Advanced Science, EarlyView.
scGEN combines attribute–structure encoding, adaptive hard‐sample weighting, and regularized zero‐inflated negative binomial loss to resolve ambiguous single‐cell states. In the developing human pituitary, refined annotations reveal Pre.Gonado cells at 7 weeks and previously obscured developmental communication networks.
Fang Huang, Dayu Hu, Yaqi Dai, Aoyi Geng, Renxiang Guan, Hao Quan, Brett A. McGregor, Zhihan Wang, Nadeem Khan, Hongsheng Zhang, Jinghua Zhang, Mingyang Xia, Xiaoqiong Gu, Di Che, Junguk Hur, Xiaoyu Cui, Kai Guo   +16 more
wiley   +1 more source

Voluntary Collective Action to Address Growing Agricultural Challenges in Two Countries: Experimental Insights and Commonalities

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT We conducted two framed field economic experiments with citrus farmers in Florida, United States and soybean farmers in Argentina to investigate their willingness to coordinate pest and weed management efforts. Despite the contrast between these two agricultural contexts, we find striking behavioral commonalities.
Ariel Singerman, Sergio H. Lence
wiley   +1 more source

Using zero-inflated and hurdle regression models to analyze schistosomiasis data of school children in the southern areas of Ghana.

PLoS ONE
BackgroundSchistosomiasis is a neglected disease prevalent in tropical and sub-tropical areas of the world, especially in Africa. Detecting the presence of the disease is based on the detection of the parasites in the stool or urine of children and ...
Kojo Nketia, Dziedzom K de Souza
doaj   +1 more source

Models for Overdispersion Count Data with Generalized Distribution: An Application to Parasites Intensity

Journal of New Theory, 2021
The Poisson regression model is widely used for count data. This model assumes equidispersion. In practice, equidispersion is seldom reflected in data. However, in real-life data, the variance usually exceeds the mean.
Burcu Durmuş, Öznur İşçi Güneri
doaj   +1 more source

How cold is too cold? A theoretical analysis of the optimal trigger for index insurance for frost damage to crops

American Journal of Agricultural Economics, EarlyView.
Abstract Crop insurance is undoubtedly an extremely valuable element in protecting agricultural businesses, but in many cases standard indemnity‐based products have had very low uptake due to high transaction costs elevating premiums to unaffordable levels.
Amogh Prakasha Kumar, Laura Meriluoto, Richard Watt   +2 more
wiley   +1 more source

A New Zero–Inflated Regression Model with Applications to Australian Health Survey and Biochemistry Graduate Students Data

Journal of Mathematics
In this study, we propose a new zero-inflated regression model as an alternative to zero-inflated regression models, such as the zero-inflated Poisson, zero-inflated negative binomial, zero-inflated hurdle-Poisson, and zero-inflated hurdle negative ...
Caner Tanış, Mahmoud M. Mansour, Enayat M. Abd Elrazik, Christophe Chesneau, Hazem Al-Mofleh, Ahmed Z. Afify   +5 more
doaj   +1 more source

MODELLING ZERO-INFLATED OVER DISPERSED DENGUE DATA VIA ZERO-INFLATED POISSON INVERSE GAUSSIAN REGRESSION MODEL: A CASE STUDY OF BANGLADESH [PDF]

Acta Scientifica Malaysia
Bangladesh has been noted for experiencing some of the most susceptible dengue outbreaks in Asia; the country’s location, dense population, and changing environment all play major roles in this.
Sukanta Chakraborty, Soma Chowdhury Biswas   +1 more
doaj   +1 more source