Results 41 to 50 of about 62,879 (156)
Recent literature has shown citizen science data that include reported counts, such as observations from the eBird database, can be used to model the relative abundance of selected species. The objective of our study was to extend on both the methodology
Veronica Lee, Andrey Skripnikov
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Generalized Additive Model for Predicting ECBR of Stabilized Subgrades for Pavement
This study presents a Generalized Additive Model (GAM) to predict the effective CBR (ECBR) of soil subgrade stabilized with recycled plastic waste under repeated loading (RL) conditions.
Alka Shah +2 more
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As an extension of the traditional Land Use Regression (LUR) modelling, the generalized additive model (GAM) was developed in recent years to explore the non-linear relationships between PM2.5 concentrations and the factors impacting it.
Shuang Li +4 more
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Evaluation of oriental beech (Fagus orientalis L.) site productivity using generalized additive model (Case study: Tarbiat Modares University Forest Research Station) [PDF]
Site productivity is a key indicator of forest ecosystem; therefore it is an important criterion for forest manager for estimating the yield, annual exploitation and growth, and choosing the most suitable tree species for sites as well.
doaj
Association between the metabolic score for insulin resistance and prostate cancer: a cross-sectional study in Xinjiang [PDF]
Background Insulin resistance is associated with the development and progression of various cancers. However, the epidemiological evidence for the association between insulin resistance and prostate cancer is still limited.
Jinru Wang +3 more
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This study presents an innovative fractional order Rayleigh fading model that can be used for channel capacity estimation in the presence of additive white generalized Gaussian noise.
Mehran Kakavand +2 more
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Background: Measurements of tree heights and diameters are essential in forest assessment and modelling. Tree heights are used for estimating timber volume, site index and other important variables related to forest growth and yield, succession and ...
Natalya Pya, Matthias Schmidt
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Generalized Additive Model Selection
23 pages, 10 ...
Chouldechova, Alexandra, Hastie, Trevor
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Generalized additive models are generalized linear models in which the linear predictor includes a sum of smooth functions of covariates, where the shape of the functions is to be estimated. They have also been generalized beyond the original generalized linear model setting to distributions outside the exponential family and to situations in which ...
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BayesX: Analyzing Bayesian Structural Additive Regression Models
There has been much recent interest in Bayesian inference for generalized additive and related models. The increasing popularity of Bayesian methods for these and other model classes is mainly caused by the introduction of Markov chain Monte Carlo (MCMC)
Andreas Brezger +2 more
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