Uncertainty Analysis of Parameters of Spatial Statistical Model Using Bayesian Method for Estimating Spatial Distribution of Probability Rainfall

Journal of Environmental Science International ◽

10.5322/jes.2011.20.12.1541 ◽

2011 ◽

Vol 20 (12) ◽

pp. 1541-1551 ◽

Author(s):

Young-Min Seo ◽

Ki-Bum Park ◽

Sung-Won Kim

Keyword(s):

Spatial Distribution ◽

Statistical Model ◽

Uncertainty Analysis ◽

Bayesian Method ◽

Spatial Statistical Model

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Uncertainty analysis of strain modal parameters by Bayesian method using frequency response function

Earthquake Engineering and Engineering Vibration ◽

10.1007/s11803-007-0736-0 ◽

2007 ◽

Vol 6 (2) ◽

pp. 183-189 ◽

Author(s):

Li Xu ◽

Weijian Yi ◽

Yi Zhihua

Keyword(s):

Uncertainty Analysis ◽

Frequency Response ◽

Response Function ◽

Frequency Response Function ◽

Bayesian Method ◽

Modal Parameters

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A statistical model for the spatial distribution of mobiles and base stations

Gateway to 21st Century Communications Village. VTC 1999-Fall. IEEE VTS 50th Vehicular Technology Conference (Cat. No.99CH36324) ◽

10.1109/vetecf.1999.797066 ◽

1999 ◽

Author(s):

J. Orriss ◽

A.R. Phillips ◽

S.K. Barton

Keyword(s):

Spatial Distribution ◽

Statistical Model ◽

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Interactive comment on “Improving maps of forest aboveground biomass: A combined approach using machine learning with a spatial statistical model” by Shaoqing Dai et al.

10.5194/bg-2020-36-sc2 ◽

2020 ◽

Author(s):

Wenli Huang

Keyword(s):

Machine Learning ◽

Statistical Model ◽

Aboveground Biomass ◽

Combined Approach ◽

Spatial Statistical Model ◽

Forest Aboveground Biomass

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Accuracy and uncertainty analysis of soil Bbf spatial distribution estimation at a coking plant-contaminated site based on normalization geostatistical technologies

Environmental Science and Pollution Research ◽

10.1007/s11356-015-5122-2 ◽

2015 ◽

Vol 22 (24) ◽

pp. 20121-20130 ◽

Author(s):

Geng Liu ◽

Junjie Niu ◽

Chao Zhang ◽

Guanlin Guo

Keyword(s):

Spatial Distribution ◽

Uncertainty Analysis ◽

Contaminated Site ◽

Distribution Estimation ◽

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Supplementary material to "Improving maps of forest aboveground biomass: A combined approach using machine learning with a spatial statistical model"

10.5194/bg-2020-36-supplement ◽

2020 ◽

Author(s):

Shaoqing Dai ◽

Xiaoman Zheng ◽

Lei Gao ◽

Chengdong Xu ◽

Shudi Zuo ◽

...

Keyword(s):

Machine Learning ◽

Statistical Model ◽

Aboveground Biomass ◽

Combined Approach ◽

Supplementary Material ◽

Spatial Statistical Model ◽

Forest Aboveground Biomass

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Continuous Contour Monte Carlo for Marginal Density Estimation With an Application to a Spatial Statistical Model

Journal of Computational and Graphical Statistics ◽

10.1198/106186007x238459 ◽

2007 ◽

Vol 16 (3) ◽

pp. 608-632 ◽

Author(s):

Faming Liang

Keyword(s):

Monte Carlo ◽

Statistical Model ◽

Density Estimation ◽

Marginal Density ◽

Marginal Density Estimation ◽

Spatial Statistical Model

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Spatial distribution of soil heavy metal pollution estimated by different interpolation methods: Accuracy and uncertainty analysis

Chemosphere ◽

10.1016/j.chemosphere.2010.09.053 ◽

2011 ◽

Vol 82 (3) ◽

pp. 468-476 ◽

Author(s):

Yunfeng Xie ◽

Tong-bin Chen ◽

Mei Lei ◽

Jun Yang ◽

Qing-jun Guo ◽

...

Keyword(s):

Heavy Metal ◽

Spatial Distribution ◽

Uncertainty Analysis ◽

Metal Pollution ◽

Heavy Metal Pollution ◽

Soil Heavy Metal ◽

Interpolation Methods

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Spatial modeling for radon concentrations in subway stations in Seoul, Korea

Environmental Science Processes & Impacts ◽

10.1039/d1em00217a ◽

2021 ◽

Author(s):

Dohyeong Kim ◽

Seonga Cho ◽

Heba Mohiuddin ◽

Wonboo Shin ◽

DongHyun Lee ◽

...

Keyword(s):

Statistical Model ◽

Spatial Modeling ◽

Radon Concentration ◽

Gis Database ◽

Subway Stations ◽

Spatial Statistical Model ◽

Radon Concentrations

This study examined environmental and geological determinants of radon concentration in subway stations by applying spatial statistical model to the integrated GIS database. The data were collected for 254 underground...

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107. A TWO-DIMENSIONAL SPATIAL STATISTICAL MODEL FOR MORPHODYNAMIC SEABED MODELLING AND PREDICTION

Proceedings of Coastal Dynamics 2009 ◽

10.1142/9789814282475_0107 ◽

2009 ◽

Author(s):

Anna Bakare ◽

Serge Guillas ◽

Jeremy Morley ◽

Richard Simons

Keyword(s):

Statistical Model ◽

Two Dimensional ◽

Spatial Statistical Model

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Developing a spatial-statistical model and map of historical malaria prevalence in Botswana using a staged variable selection procedure

International Journal of Health Geographics ◽

10.1186/1476-072x-6-44 ◽

2007 ◽

Vol 6 (1) ◽

pp. 44 ◽

Author(s):

Marlies H Craig ◽

Brian L Sharp ◽

Musawenkosi LH Mabaso ◽

Immo Kleinschmidt

Keyword(s):

Variable Selection ◽

Statistical Model ◽

Selection Procedure ◽

Malaria Prevalence ◽

Variable Selection Procedure ◽

Spatial Statistical Model

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