Results 91 to 100 of about 25,561,218 (304)

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

Modelling zero-inflated count data when exposure varies: with an application to sick leave [PDF]

This paper is concerned with the analysis of zero-inflated count data when time of exposure varies. It proposes a new zero-inflated count data model that is based on two homogeneous Poisson processes and accounts for exposure time in a theory consistent ...
Gregori Baetschmann, Rainer Winkelmann
core  

Angled Nozzle Aerosol Jet Printing to Streamline Conformal Patterning of Electronics

Advanced Materials Technologies, EarlyView.
A modular, angled aerosol jet printhead is demonstrated to streamline patterning on nonplanar surfaces, including 90° step edges and confined internal geometries. A detailed analysis of gravitational settling for a sheathed aerosol flow and deconvolution of oblique deposition and gravitational effects supports the versatility of this approach for ...
Louis O. Morgan, Jeremy D. Rurup, Hal K. Griswold, Md Ramjan Ali, Ethan B. Secor   +4 more
wiley   +1 more source

Using zero inflated models to analyze dental caries with many zeroes

Indian 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  

Coherent Absorption Reveals Colors Hidden in a Grey Fabry–Pérot Cavity

Advanced Optical Materials, EarlyView.
A dielectric thin film shows colors depending on its thickness; this effect can be used to encode information normally accessible through single‐beam spectroscopy. We developed a method to conceal this kind of information, based on coating the dielectric with a matched conductor, that suppresses the color‐bearing thin‐film resonances.
Giuseppe E. Lio, Giulio Carotta, Lorenzo Lavista, Andrea Camposeo, Giacomo Venturi, Agnese Guernieri, Alessandro Pitanti, Simon A. R. Horsley, Giuseppe C. La Rocca, Alessandro Tredicucci, Simone Zanotto   +10 more
wiley   +1 more source

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

Research 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, Cox Lwaka Tamba, Luke Akong’o Orawo, Justin Obwoge Okenye   +3 more
doaj   +1 more source

Analysis of zero-inflated count data

, 2012
published_or_final_version ; Statistics and Actuarial Science ; Master ; Master of ...
openaire   +2 more sources

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

Journal 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

ON BASELINE CONDITIONS FOR ZERO-INFLATED LONGITUDINAL COUNT DATA [PDF]

We describe a mixed-effects hurdle model for zero-inflated longitudinal count data, where a baseline variable is included in the model specification. Association between the count data process and the endogenous baseline variable is modeled through a ...
Valentina Raponi, Antonello Maruotti
core  

Bayesian variable selection in modelling geographical heterogeneity in malaria transmission from sparse data : an application to Nouna Health and Demographic Surveillance System (HDSS) data, Burkina Faso [PDF]

, 2015
Quantification of malaria heterogeneity is very challenging, partly because of the underlying characteristics of mosquitoes and also because malaria is an environmentally driven disease.
Diboulo, Eric, Dimitrios A Karagiannis Voules, Voules, Dimitrios A. Karagiannis, Yé, Yazoume, Sié, Ali, Diallo A Diadier, Diadier, Diallo A., Ali Sié, Vounatsou, Penelope, Yazoume Yé, Penelope Vounatsou, Eric Diboulo, Yé Y, Karagiannis Voules DA, Diadier DA, Vounatsou P, Sié A, Diboulo E   +17 more
core   +1 more source