Wildfires Impact Assessment on PM Levels Using Generalized Additive Mixed Models
Wildfires are relevant sources of PM emissions and can have an important impact on air pollution and human health. In this study, we examine the impact of wildfire PM emissions on the Piemonte (Italy) air quality regional monitoring network using a ...
Gianluca Leone +6 more
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The Impact of Climate Change on The Geographic Distribution of Thymus Kotschyanus (Boiss and Hohen) Using Ensemble Modelling [PDF]
This study aimed at predicting the effect of climate change on the geographic distribution of Thymus kotschyanus Boiss and Hohen in Mazandaran province. Species presence data were recorded via the Global Positioning System (GPS).
Samaneh Nazari +3 more
doaj +1 more source
Propriety of Posteriors in Structured Additive Regression Models: Theory and Empirical Evidence [PDF]
Structured additive regression comprises many semiparametric regression models such as generalized additive (mixed) models, geoadditive models, and hazard regression models within a unified framework.
Kneib, Thomas, Fahrmeir, Ludwig
core +1 more source
A Longitudinal Analysis of the Impact of Distance Driven on the Probability of Car Accidents
Using telematics data, we study the relationship between claim frequency and distance driven through different models by observing smooth functions. We used Generalized Additive Models (GAM) for a Poisson distribution, and Generalized Additive Models for
Jean-Philippe Boucher, Roxane Turcotte
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PEMODELAN PRODUKTIVITAS PADI DENGAN MENGGUNAKAN GENERALIZED ADDITIVE MODELS DI PROVINSI BANTEN
Tujuan dari penelitian ini adalah untuk melakukan pemodelan produktivitas padi. Sumber data yang digunakan dalam penelitian ini adalah data produktivitas padi, penggunaan pupuk, penggunaan benih, sistem tanam, serangan OPT, dampak perubahan iklim, dan ...
Wahyudi Manurung, Muhammad Fajar, Noviar
doaj +1 more source
Background: We aimed to compare statistical techniques estimating the association between SARS-CoV-2 RNA in untreated wastewater and sludge and reported coronavirus disease 2019 (COVID-19) cases.
Elyssa Anneser +4 more
doaj +1 more source
Background The analysis of correlated binary data is commonly addressed through the use of conditional models with random effects included in the systematic component as opposed to generalized estimating equations (GEE) models that addressed the random ...
Jie Pu, Di Fang, Jeffrey R. Wilson
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Maximal Associated Regression: A Nonlinear Extension to Least Angle Regression
This paper proposes Maximal Associated Regression (MAR), a novel algorithm that performs forward stage-wise regression by applying nonlinear transformations to fit predictor covariates.
Sanush K. Abeysekera +3 more
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Data-driven estimation of the hydrologic response using generalized additive models [PDF]
Estimating the hydrologic response of watersheds to precipitation events is key to understanding streamflow generation processes. Impulse Response Functions, commonly referred to as the Instantaneous Unit Hydrograph (IUH) in hydrology, have been used for
Q. Duchemin +9 more
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Non-Parametric Generalized Additive Models as a Tool for Evaluating Policy Interventions
The interrupted time series analysis is a quasi-experimental design used to evaluate the effectiveness of an intervention. Segmented linear regression models have been the most used models to carry out this analysis.
Jaime Pinilla, Miguel Negrín
doaj +1 more source

