نتایج جستجو برای: gams

تعداد نتایج: 1394  

Journal: :Environmental Modelling and Software 2008
H. Ahrends M. Mast Ch. Rodgers Harald Kunstmann

Abstract A coupled model system, consisting of a distributed hydrological model and an economic optimization model, is applied 1) to investigate regional interdependencies between irrigated agriculture and regional water balance and 2) to identify optimized cultivation strategies. The coupled model system is applied to a case study for the semi-arid Atankwidi catchment in West Africa. The hydro...

Journal: :The international journal of biostatistics 2015
Mark W Donoghoe Ian C Marschner

Generalized additive models (GAMs) based on the binomial and Poisson distributions can be used to provide flexible semi-parametric modelling of binary and count outcomes. When used with the canonical link function, these GAMs provide semi-parametrically adjusted odds ratios and rate ratios. For adjustment of other effect measures, including rate differences, risk differences and relative risks,...

2013
Henri E. Cuny Cyrille B.K. Rathgeber Tristan Senga Kiessé Felix P. Hartmann Ignacio Barbeito Meriem Fournier

The intra-annual dynamics of wood formation, which involves the passage of newly produced cells through three successive differentiation phases (division, enlargement, and wall thickening) to reach the final functional mature state, has traditionally been described in conifers as three delayed bell-shaped curves followed by an S-shaped curve. Here the classical view represented by the 'Gompertz...

2008
Carmen Cadarso-Suárez

Publications in many biomedical fields have shown an interest in the application of Gen-eralized Additive Models (GAMs, Hastie and Tibshirani, 1990) since this type of modelsconstitute a good compromise between flexibility and interpretability, while avoiding thecurse of the dimensionality. GAMs including interactions can be adapted adequately inbiomedical studies of associa...

Journal: :Revista chilena de infectología 2017

2014
Hyunsu Ju Allan R Brasier Alexander Kurosky Bo Xu Victor E Reyes David Y Graham

BACKGROUND The development of accurate classification models depends upon the methods used to identify the most relevant variables. The aim of this article is to evaluate variable selection methods to identify important variables in predicting a binary response using nonlinear statistical models. Our goals in model selection include producing non-overfitting stable models that are interpretable...

2018
Dong Zhou Fei-Jie Zhi Mao-Zhen Qi Fu-Rong Bai Guangdong Zhang Jun-Mei Li Huan Liu Hua-Tao Chen Peng-Fei Lin Ke-Qiong Tang Wei Liu Ya-Ping Jin Ai-Hua Wang

Brucella is an intracellular bacterium that causes the zoonosis brucellosis worldwide. Alveolar macrophages (AM) constitute the main cell target of inhaled Brucella. Brucella thwarts immune surveillance and evokes endoplasmic reticulum (ER) stress to replicate in macrophages via virulence factors. The GntR regulators family was concentrated as an important virulence factor in controlling virule...

2008
P. Angelino X. Garbet L. Villard A. Bottino S. Jolliet Ph. Ghendrih V. Grandgirard B. F. McMillan Y. Sarazin G. Dif-Pradalier T. M. Tran

Drift wave turbulence is known to self-organize to form axisymmetric macroscopic flows. The basic mechanism for macroscopic flow generation is called inverse energy cascade. Essentially, it is an energy transfer from the short wavelengths to the long wavelengths in the turbulent spectrum due to nonlinear interactions. A class of macroscopic flows, the poloidally symmetric zonal flows, is widely...

2000
Thomas F. Rutherford Sergey V. Paltsev

The paper documents the energy-economy dataset GTAP-EG which is based on the general Global Trade Analysis Project (GTAP) database and OECD International Energy Agency (IEA) statistics. The GTAP-EG dataset is developed in collaboration with the researchers at Purdue University, who created a GEMPACK version of the energy dataset. In contrast to their work, the GTAP-EG is implemented in the GAMS...

2008

OQNLP and MSNLP are multistart heuristic algorithms designed to find global optima of smooth constrained nonlinear programs (NLPs). By ”multistart” we mean that the algorithm calls an NLP solver from multiple starting points, keeps track of all feasible solutions found by that solver, and reports back the best of these as its final solution. The starting points are computed by a scatter search ...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید