메뉴 건너뛰기




Volumn 86, Issue 3, 2010, Pages 139-153

A Unified Statistical Approach for Simulation, Modeling, Analysis and Mapping of Environmental Data

Author keywords

EM algorithm; Hierarchical modeling; particulate matters; sensitivity analysis; spatio temporal process

Indexed keywords

EM ALGORITHMS; HIERARCHICAL MODELING; PARTICULATE MATTER; PARTICULATE MATTERS; SPATIO-TEMPORAL;

EID: 77749245850     PISSN: 00375497     EISSN: None     Source Type: Journal    
DOI: 10.1177/0037549709102150     Document Type: Article
Times cited : (19)

References (36)
  • 4
    • 33745699573 scopus 로고    scopus 로고
    • Bayesian analysis of computer code outputs: A tutorial
    • O’Hagan, A. 2006. Bayesian analysis of computer code outputs: A tutorial. Reliability Engineering and System Safety 91(10-11), 1290-1300.
    • (2006) Reliability Engineering and System Safety , vol.91 , Issue.10-11 , pp. 1290-1300
    • O’Hagan, A.1
  • 5
    • 0344287027 scopus 로고    scopus 로고
    • Statistical sensitivity analysis of packed column reactors for contaminated wastewater
    • Fassò, A., E. Esposito, E. Porcu, A. Reverberi, and F. Vegli. 2003. Statistical sensitivity analysis of packed column reactors for contaminated wastewater. Environmetrics 14(8), 743-759.
    • (2003) Environmetrics , vol.14 , Issue.8 , pp. 743-759
    • Fassò, A.1    Esposito, E.2    Porcu, E.3    Reverberi, A.4    Vegli, F.5
  • 7
    • 0000414912 scopus 로고    scopus 로고
    • A dimension-reduced approach to space-time Kalman filtering
    • Wikle, C.K. and N. Cressie. 1999. A dimension-reduced approach to space-time Kalman filtering. Biometrika 86(4), 812-829.
    • (1999) Biometrika , vol.86 , Issue.4 , pp. 812-829
    • Wikle, C.K.1    Cressie, N.2
  • 8
    • 1642293330 scopus 로고    scopus 로고
    • Physical-statistical modeling in geophysics
    • Berliner, M. 2003. Physical-statistical modeling in geophysics. Journal of geophysical research 108(D24), 3.1-3.10.
    • (2003) Journal of geophysical research , vol.108 , Issue.D24 , pp. 3.1-3.10
    • Berliner, M.1
  • 11
    • 33745420790 scopus 로고    scopus 로고
    • A future for models and data in environmental science
    • Clark, J. and A. Gelfand. 2006. A future for models and data in environmental science. Trends in Ecology and Evolution 21(7), 375-380.
    • (2006) Trends in Ecology and Evolution , vol.21 , Issue.7 , pp. 375-380
    • Clark, J.1    Gelfand, A.2
  • 12
    • 0043180459 scopus 로고    scopus 로고
    • Hierarchical models in environmental science
    • Wikle, C.K. 2003. Hierarchical models in environmental science. International Statistical Review 71(2), 181-199.
    • (2003) International Statistical Review , vol.71 , Issue.2 , pp. 181-199
    • Wikle, C.K.1
  • 15
    • 34248219870 scopus 로고    scopus 로고
    • Air quality monitoring using heterogeneous networks
    • Fassò, A., M. Cameletti, and O. Nicolis. 2007. Air quality monitoring using heterogeneous networks. Environmetrics 18(3), 245- 264.
    • (2007) Environmetrics , vol.18 , Issue.3 , pp. 245-264
    • Fassò, A.1    Cameletti, M.2    Nicolis, O.3
  • 17
    • 27644545575 scopus 로고    scopus 로고
    • Using a spatio-temporal dynamic state-space model with the EM algorithm to patch gaps in daily riverflow series
    • Amisigo, B.A. and N. C. Van De Giesen. 2005. Using a spatio-temporal dynamic state-space model with the EM algorithm to patch gaps in daily riverflow series. Hydrology and Earth System Sciences 9, 209-224.
    • (2005) Hydrology and Earth System Sciences , vol.9 , pp. 209-224
    • Amisigo, B.A.1    N. C. Van De Giesen.2
  • 18
    • 0036245216 scopus 로고    scopus 로고
    • Nonlinear statistical modelling of high frequency ground ozone data
    • Fassò, A. and I. Negri. 2002. Nonlinear statistical modelling of high frequency ground ozone data. Environmetrics 13(3), 225- 241.
    • (2002) Environmetrics , vol.13 , Issue.3 , pp. 225-241
    • Fassò, A.1    Negri, I.2
  • 19
    • 84986753417 scopus 로고
    • An approach to time series smoothing and forecasting using the EM algorithm
    • Shumway, R. and D. Stoffer. 1982. An approach to time series smoothing and forecasting using the EM algorithm. Journal of Time Series Analysis 3, 253-264.
    • (1982) Journal of Time Series Analysis , vol.3 , pp. 253-264
    • Shumway, R.1    Stoffer, D.2
  • 20
    • 0041720000 scopus 로고    scopus 로고
    • An algorithm for estimating parameters of state-space models
    • Wu, L., J. Pai, and J. Hosking. 1996. An algorithm for estimating parameters of state-space models. Statistics and Probability Letters 28(2), 99-106.
    • (1996) Statistics and Probability Letters , vol.28 , Issue.2 , pp. 99-106
    • Wu, L.1    Pai, J.2    Hosking, J.3
  • 21
    • 33749362015 scopus 로고    scopus 로고
    • Estimation of parameterized spatio-temporal dynamic models
    • Xu, K. and C.K. Wikle. 2007. Estimation of parameterized spatio-temporal dynamic models. Journal of Statistical Inference and Planning 137(2), 567-588.
    • (2007) Journal of Statistical Inference and Planning , vol.137 , Issue.2 , pp. 567-588
    • Xu, K.1    Wikle, C.K.2
  • 25
    • 67349265140 scopus 로고    scopus 로고
    • The EM algorithm in a distributed computing environment for modelling environmental space-time data
    • Accepted for publication. DOI: 10.1016/j.envsoft.2009.02.009.
    • Fassò, A., Cameletti M. 2009. The EM algorithm in a distributed computing environment for modelling environmental space-time data. Environmental Modelling & Software. Accepted for publication. DOI: 10.1016/j.envsoft.2009.02.009.
    • (2009) Environmental Modelling & Software
    • Fassò, A.1    Cameletti M.2
  • 26
    • 0000673380 scopus 로고
    • The likelihood for a state space model
    • De Jong, P. 1988. The likelihood for a state space model. Biometrika 75, 165-169.
    • (1988) Biometrika , vol.75 , pp. 165-169
    • De Jong, P.1
  • 30
    • 0001431853 scopus 로고
    • Bootstraping correlated data
    • Solow, A. 1985. Bootstraping correlated data. Mathematical Geology 17(7), 769-775.
    • (1985) Mathematical Geology , vol.17 , Issue.7 , pp. 769-775
    • Solow, A.1
  • 31
    • 0041639639 scopus 로고    scopus 로고
    • Bootstraps for time-series
    • Buhlmann, P. 2002. Bootstraps for time-series. Statistical Science 17(1), 52-72.
    • (2002) Statistical Science , vol.17 , Issue.1 , pp. 52-72
    • Buhlmann, P.1
  • 32
    • 0002175110 scopus 로고
    • A development of multiple regression for the analysis of routine data
    • Newton, R. and D. Spurrell. 1967. A development of multiple regression for the analysis of routine data. Applied Statistics 16(1), 51-64.
    • (1967) Applied Statistics , vol.16 , Issue.1 , pp. 51-64
    • Newton, R.1    Spurrell, D.2
  • 33
    • 0021313854 scopus 로고
    • Model interpretation from the additive elements of the likelihood function
    • Whittaker, J. 1984. Model interpretation from the additive elements of the likelihood function. Applied Statistics 33(1), 52-64.
    • (1984) Applied Statistics , vol.33 , Issue.1 , pp. 52-64
    • Whittaker, J.1
  • 34
    • 84993817799 scopus 로고    scopus 로고
    • Modelling applications and developments for air quality assessment in piemonte
    • Air quality assessment and management in the Piemonte Region according to European Legislation. Torino, 28 October
    • Muraro, M. and R. De Maria. 2005. Modelling applications and developments for air quality assessment in piemonte. In Air quality assessment and management in the Piemonte Region according to European Legislation. Torino, 28 October 2005.
    • (2005)
    • Muraro, M.1    R. De Maria.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.