Results 71 to 80 of about 41,785 (303)

Modeling zero-inflated count data with glmmTMB [PDF]

open access: yes, 2017
Abstract Ecological phenomena are often measured in the form of count data. These data can be analyzed using generalized linear mixed models (GLMMs) when observations are correlated in ways that require random effects.
Brooks, Mollie E.   +8 more
openaire   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

open access: yesAdvanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam   +6 more
wiley   +1 more source

Using zero inflated models to analyze dental caries with many zeroes

open access: yesIndian Journal of Dental Research, 2010
Aim: The study aimed to analyze and determine the factors associated with dental caries experience contains many zeros by zero inflated models. Design: A cross sectional design was employed using clinical examination and questionnaire with interview ...
Javali Shivalingappa, Pandit Parameshwar
doaj  

Neutron Reflectometry and Compression of Graded Hydrogel Surfaces

open access: yesAdvanced Materials Interfaces, EarlyView.
Highly‐entangled and covalently‐crosslinked hydrogels with thin and thick surface gel layers are compressed in neutron reflectometry experiments. Surface gel layer thickness dictates the extent to which the polymer network at the surface of a hydrogel collapses, while crosslinking chemistry, and therefore elastic modulus, impacts the pressure at which ...
Kathryn E. Shaffer   +12 more
wiley   +1 more source

Negative Binomial Two-Parameter Lindley generalized linear model for modeling count data

open access: yesResearch in Statistics
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
doaj   +1 more source

Multiobjective Codesign Optimization of a Planar Pneumatic Artificial Muscle‐Based Snake‐Like Robot for Enhanced Agility and Energy Efficiency

open access: yesAdvanced Robotics Research, EarlyView.
A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley   +1 more source

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

open access: yesActa 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   +1 more
doaj   +1 more source

Edible Pouch Motors

open access: yesAdvanced Robotics Research, EarlyView.
Edible robotics is an emerging field that leverages edible materials to construct robotic systems. This study presents a method to create thin, lightweight, yet powerful edible soft actuators, namely edible pouch motors. The successful operation of these edible actuators and grippers renders their potential to advance future developments in edible ...
Keigo Takahashi   +3 more
wiley   +1 more source

Generalized Linear Models with Covariate Measurement Error and Zero-Inflated Surrogates

open access: yesMathematics
Epidemiological studies often encounter a challenge due to exposure measurement error when estimating an exposure–disease association. A surrogate variable may be available for the true unobserved exposure variable.
Ching-Yun Wang   +3 more
doaj   +1 more source

Model-Based Causal Discovery for Zero-Inflated Count Data.

open access: yesJournal of machine learning research : JMLR, 2023
Zero-inflated count data arise in a wide range of scientific areas such as social science, biology, and genomics. Very few causal discovery approaches can adequately account for excessive zeros as well as various features of multivariate count data such as overdispersion. In this paper, we propose a new zero-inflated generalized hypergeometric directed
Junsouk Choi, Yang Ni
openaire   +3 more sources

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