Results 31 to 40 of about 1,087,600 (300)

Zero Inflated Poisson Simulation File

, 2014
File for simulating zero-inflated Poisson ...
Xavier Harrison (598795)
core   +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

An empirical comparison of methods for analyzing over-dispersed zero-inflated count data from stratified cluster randomized trials

Contemporary Clinical Trials Communications, 2020
Background: The assessment of methods for analyzing over-dispersed zero inflated count outcome has received very little or no attention in stratified cluster randomized trials. In this study, we performed sensitivity analyses to empirically compare eight
Sayem Borhan, Courtney Kennedy, George Ioannidis, Alexandra Papaioannou, Jonathan Adachi, Lehana Thabane   +5 more
doaj   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

A random-effects zero-inflated Poisson regression model for clustered extra-zero count data.

, 1999
A random-effects zero-inflated Poisson regression model for clustered extra-zero count ...
Kwan. Hur (7967408)
core   +3 more sources

Generalized Poisson Hurdle Model for Count Data and Its Application in Ear Disease

Entropy, 2021
For count data, though a zero-inflated model can work perfectly well with an excess of zeroes and the generalized Poisson model can tackle over- or under-dispersion, most models cannot simultaneously deal with both zero-inflated or zero-deflated data and
Guoxin Zuo, Kang Fu, Xianhua Dai, Liwei Zhang   +3 more
doaj   +1 more source

Physics‐Informed Neural Network‐Enabled Forward Prediction and Inverse Design of Ring Origami

Advanced Science, EarlyView.
This work presents a KRT‐PINN framework that integrates Kirchhoff rod theory with physics‐informed neural networks for the forward prediction and inverse design of ring origami consisting of closed‐loop rods. The framework predicts stable states of segmented rings with prescribed natural‐curvature profiles and determines the natural‐curvature profiles ...
Luyuan Ning, Lu Lu, Sophie Leanza, Ruike Renee Zhao   +3 more
wiley   +1 more source

Simulation Study of Bayesian Zero Inflated Poisson Regression

Cauchy: Jurnal Matematika Murni dan Aplikasi
Bayesian merupakan salah satu metode estimasi parameter yang dapat diaplikasikan pada ukuran sampel yang kecil. Zero Inflated Poisson merupakan salah satu metode untuk menganalisis data Poisson yang mengalami overdispersion.
Candra Rezzing Weni Utomo, Achmad Efendi, Ni Wayan S. Wardhani   +2 more
doaj   +1 more source

Discrete 2D Material Programming for 3D Shaping and Morphogenesis‐Inspired 4D Bioprinting

Advanced Science, EarlyView.
Cell‐compatible discrete 2D material programming enables 2‐to‐3D shape transformation and morphogenesis‐inspired 4D bioprinting. By patterning cell‐supportive microdomains within a responsive hydrogel, the approach programs in‐plane growth to encode target metrics.
Fereshteh Family, Aneela Davuluri, Athulya Martin, Kyungsuk Yum   +3 more
wiley   +1 more source

Zero Inflated Poisson and Geographically Weighted Zero- Inflated Poisson Regression Model: Application to Elephantiasis (Filariasis) Counts Data [PDF]

Journal of Mathematics and Statistics, 2015
Poisson regression has been widely used for modeling counts data. Violation of equidispersion assumption can occur when there are excess of zeros of the data. For that condition we can use Zero-Inflated Poisson (ZIP) to analyze such data, resulting global parameter estimates.
null Purhadi, Yuliani Setia Dewi, Luthfatul Amaliana   +2 more
openaire   +1 more source