Results 101 to 110 of about 1,087,600 (300)

ZERO INFLATED NEGATIVE BINOMIAL MODELS IN SMALL AREA ESTIMATION [PDF]

, 2008
The problem of over-dispersion in Poisson data is usually solved by introducing prior distributions which lead to negative binomial models. Poisson data sometime is also suffered by excess zero problems, a condition when data contains too many zero or ...
Khairil Anwar, Notodiputro, Irene Muflikh, Nadhiroh, Indahwati, Indahwati   +2 more
core  

SDG Reporting in Spanish Listed Companies: A Longitudinal Industry‐Level Analysis Using Natural Language Processing (2018–2023)

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study analyzes the evolution of Sustainable Development Goal (SDG) disclosure among IBEX 35 companies between 2018 and 2023, combining natural language processing for disclosure measurement with negative binomial generalized linear mixed models incorporating financial and governance controls.
Francisco Aguado‐Correa, Juan José de la Vega‐Jiménez, Nuria Padilla‐Garrido, Inmaculada Rabadán‐Martín, José María López‐Jiménez, Ignacio Peletier‐Ribera   +5 more
wiley   +1 more source

Fracture evolution of a thick soft protection layer and the water inrush mechanism in overburden under longwall mining

Deep Underground Science and Engineering, EarlyView.
Through shear–tensile creep tests and viscoelastic modeling, the fracture evolution of thick soft protective layers is clarified. Results show thickness‐dependent rheological failure modes that govern four types of roof water inrush, providing a mechanism‐based framework for hazard prediction and control. Abstract In the Jurassic coal‐bearing strata of
Mengnan Liu, Wei Qiao, Xianggang Cheng, Xiangsheng Meng, Peichao Feng   +4 more
wiley   +1 more source

Bivariate Poisson and Diagonal Inflated Bivariate Poisson Regression Models in R [PDF]

In this paper we present an R package called bivpois for maximum likelihood estimation of the parameters of bivariate and diagonal inflated bivariate Poisson regression models. An Expectation-Maximization (EM) algorithm is implemented.
Dimitris Karlis, Ioannis Ntzoufras
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Dynamic response at the terminus of oblique intersecting joints subjected to stress waves

Deep Underground Science and Engineering, EarlyView.
This study derives the propagation equation for stress waves impinging upon nonlinear oblique intersecting joints. It analyzes the dynamic response at the terminus of nonlinear oblique intersecting joints subjected to stress waves. Abstract To investigate the dynamic response at the terminus of oblique intersecting joints subjected to stress waves, a ...
Gang Hu, Xiang Chen, Honglu Fei, Shijie Bao, Jian Guo   +4 more
wiley   +1 more source

Spatio‐temporal dynamics of ringed seal density and habitat use in the Arctic's Last Ice Area

Ecography, EarlyView.
The Arctic is warming at approximately four times the global rate, driving widespread decline in sea ice extent, thickness, and seasonal duration. The ecological consequences of these rapid changes remain poorly understood within the Last Ice Area, a region that includes northern Ellesmere Island and the northwest of Greenland, projected to retain ...
Roxanne D. MacLean, Gregory W. Thiemann, Steven H. Ferguson, Katie R.N. Florko, Cody G. Carlyle, Kelsey F. Johnson, Lisa C. Matthes, Christine Michel, Brent G. Young, David J. Yurkowksi   +9 more
wiley   +1 more source

A zero-inflated Poisson latent position cluster model

Network Science
Abstract The Latent Position Model (LPM) is a popular approach for the statistical analysis of network data. A central aspect of this model is that it assigns nodes to random positions in a latent space, such that the probability of an interaction between each pair of individuals or nodes is determined by their distance in this latent
Chaoyi Lu, Riccardo Rastelli, Nial Friel
openaire   +2 more sources

Modelling dependence in a ratemaking procedure with multivariate Poisson regression models [PDF]

When actuaries face with the problem of pricing an insurance contract that contains different types of coverage, such as a motor insurance or homeowner's insurance policy, they usually assume that types of claim are independent.
Lluís Bermúdez, Dimitris Karlis
core  

High‐Order Projection‐Based Upwind Method for Simulation of Transitional Turbulent Flows

International Journal for Numerical Methods in Fluids, EarlyView.
In this study, we evaluated the implicit large‐eddy simulation capabilities of the mass‐conserving mixed stress method for transitional turbulent flows and proposed an efficient solution method for large‐scale applications. The results presented in this work show promising outcomes for incompressible aerodynamic flow problems, which can be further ...
Philip L. Lederer, Xaver Mooslechner, Joachim Schöberl   +2 more
wiley   +1 more source

Mixture of bivariate Poisson regression models with an application to insurance [PDF]

In a recent paper Bermúdez [2009] used bivariate Poisson regression models for ratemaking in car insurance, and included zero-inflated models to account for the excess of zeros and the overdispersion in the data set. In the present paper, we revisit this
Lluís Bermúdez, Dimitris Karlis
core