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检索条件"主题词=Generalized Additive Model"
968 条 记 录,以下是121-130 订阅
排序:
Practical variable selection for generalized additive models
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COMPUTATIONAL STATISTICS & DATA ANALYSIS 2011年 第7期55卷 2372-2387页
作者: Marra, Giampiero Wood, Simon N. UCL Dept Stat Sci London WC1E 6BT England Univ Bath Dept Math Sci Bath BA2 7AY Avon England
The problem of variable selection within the class of generalized additive models, when there are many covariates to choose from but the number of predictors is still somewhat smaller than the number of observations, ... 详细信息
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Linking livestock snow disastermortality and environmental stressors in the Qinghai-Tibetan Plateau: Quantification based on generalized additive models
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SCIENCE OF THE TOTAL ENVIRONMENT 2018年 625卷 87-95页
作者: Li, Yijia Ye, Tao Liu, Weihang Gao, Yu Beijing Normal Univ Fac Geog Sci State Key Lab Earth Surface Proc & Resource Ecol Key Lab Environm Change & Nat DisasterMinist Edu Beijing 100875 Peoples R China East China Normal Univ Sch Geog Sci Shanghai 200241 Peoples R China
Livestock snowdisaster occurswidely in Central-to-Eastern Asian temperate and alpine grasslands. The effects of snowdisaster on livestock involve a complex interaction between precipitation, vegetation, livestock, and... 详细信息
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Near-road air pollutant concentrations of CO and PM2.5: A comparison of MOBILE6.2/CALINE4 and generalized additive models
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ATMOSPHERIC ENVIRONMENT 2010年 第14期44卷 1740-1748页
作者: Zhang, Kai Batterrnan, Stuart Univ Michigan Ann Arbor MI 48109 USA
The contribution of vehicular traffic to air pollutant concentrations is often difficult to establish. This paper utilizes both time-series and simulation models to estimate vehicle contributions to pollutant levels n... 详细信息
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The burden associated with ambient PM2.5 and meteorological factors in Guangzhou, China, 2012-2016: A generalized additive modeling of temporal years of life lost
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CHEMOSPHERE 2018年 212卷 705-714页
作者: Lin, Xiao Liao, Yu Hao, Yuantao Sun Yat Sen Univ Sch Publ Hlth Dept Med Stat & Epidemiol Guangzhou 510080 Guangdong Peoples R China Sun Yat Sen Univ Sun Yat Sen Global Hlth Inst Guangzhou 510080 Guangdong Peoples R China
Background: Daily exposure to ambient particulate matter with aerodynamic diameter <2.5 Am (PM2.5) increases deaths and is an important contributor to burden of disease in population. To better understand the disea... 详细信息
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Statistical modelling of roadside and urban background ultrafine and accumulation mode particle number concentrations using generalized additive models
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SCIENCE OF THE TOTAL ENVIRONMENT 2020年 第0期703卷 134570-000页
作者: Gerling, Lars Loeschau, Gunter Wiedensohler, Alfred Weber, Stephan Tech Univ Carolo Wilhelmina Braunschweig Inst Geoecol Climatol & Environm Meteorol Langer Kamp 19c D-38106 Braunschweig Germany Saxon State Off Environm Agr & Geol LfULG Pillnitzer Pl 3 D-01326 Dresden Germany Leibniz Inst Tropospher Res TROPOS Permoserstr 15 D-04318 Leipzig Germany
Quantification of the exposure of urban residents to ultrafine particle number concentrations (UFP) is challenging due to its high spatial and temporal variability. Hence, statistical models, e.g. generalized additive... 详细信息
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Use of generalized additive models and cokriging of spatial residuals to improve land-use regression estimates of nitrogen oxides in Southern California
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ATMOSPHERIC ENVIRONMENT 2012年 55卷 220-228页
作者: Li, Lianfa Wu, Jun Wilhelm, Michelle Ritz, Beate Univ Calif Irvine Program Publ Hlth Coll Hlth Sci Irvine CA 92697 USA Chinese Acad Sci State Key Lab Resources & Environm Informat Syst Inst Geog Sci & Nat Resources Res Beijing 100864 Peoples R China Univ Calif Los Angeles Sch Publ Hlth Dept Epidemiol Los Angeles CA 90024 USA
Land-use regression (LUR) models have been developed to estimate spatial distributions of traffic-related pollutants. Several studies have examined spatial autocorrelation among residuals in LUR models, but few utiliz... 详细信息
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Comparative performance of generalized additive models and multivariate adaptive regression splines for statistical modelling of species distributions
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ECOLOGICAL modelLING 2006年 第2期199卷 188-196页
作者: Leathwick, J. R. Elith, J. Hastie, T. Natl Inst Water & Atmospher Res Hamilton New Zealand Univ Melbourne Sch Bot Parkville Vic 3052 Australia Stanford Univ Dept Stat Stanford CA 94305 USA
Two statistical modelling techniques, generalized additive models (GAM) and multivariate adaptive regression splines (MARS), were used to analyse relationships between the distributions of 15 freshwater fish species a... 详细信息
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Fast Automatic Smoothing for generalized additive models
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JOURNAL OF MACHINE LEARNING RESEARCH 2019年 第1期20卷 1-27页
作者: El-Bachir, Yousra Davison, Anthony C. Ecole Polytech Fed Lausanne FSB MATH STAT Stn 8 CH-1015 Lausanne Switzerland
generalized additive models (GAMs) are regression models wherein parameters of probability distributions depend on input variables through a sum of smooth functions, whose degrees of smoothness are selected by L-2 reg... 详细信息
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modeling and Fault Monitoring of Bioprocess Using generalized additive models (GAMs) and Bootstrap
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Chinese Journal of Chemical Engineering 2012年 第6期20卷 1180-1183页
作者: 郑蓉建 周林成 潘丰 Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Jiangnan University Wuxi 214122 China Faculty of Electrical Engineering Huaiyin Institute of Technology Huai'an 223003 China
Fault monitoring of bioprocess is important to ensure safety of a reactor and maintain high quality of products. It is difficult to build an accurate mechanistic model for a bioprocess, so fault monitoring based on ri... 详细信息
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Weather impacts on various types of road crashes: a quantitative analysis using generalized additive models
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EUROPEAN TRANSPORT RESEARCH REVIEW 2022年 第1期14卷 1-18页
作者: Becker, Nico Rust, Henning W. Ulbrich, Uwe Free Univ Berlin Inst Meteorol Carl Heinrich Becker Weg 6-10 D-12165 Berlin Germany Hans Ertel Ctr Weather Res Berlin Germany
Adverse weather conditions can have different effects on different types of road crashes. We quantify the combined effects of traffic volume and meteorological parameters on hourly probabilities of 78 different crash ... 详细信息
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