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Volumn , Issue , 2004, Pages 2078-2087

Drought frequency analysis with a hidden state Markov model

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATOLOGY; HYDROLOGY; MARKOV PROCESSES; MATHEMATICAL MODELS; PARAMETER ESTIMATION; STREAM FLOW;

EID: 23844559296     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2)

References (9)
  • 1
    • 0003857778 scopus 로고    scopus 로고
    • A gentle tutorial of the em algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models
    • International Computer Science Institute, University of Berkeley, CA, USA
    • Bilmes, J. A., A gentle tutorial of the EM algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models, Technical report TR-97-021, International Computer Science Institute, University of Berkeley, CA, USA, 1998.
    • (1998) Technical Report , vol.TR-97-021
    • Bilmes, J.A.1
  • 3
    • 0016471388 scopus 로고
    • Markov mixture models for drought lengths
    • Jackson, B. B., Markov mixture models for drought lengths, Water Resources Research, 11, 64-74, 1975.
    • (1975) Water Resources Research , vol.11 , pp. 64-74
    • Jackson, B.B.1
  • 4
    • 0032918735 scopus 로고    scopus 로고
    • Markov switching time series models with application to a daily runoff series
    • Lu, Z. Q., and L. M. Berliner, Markov switching time series models with application to a daily runoff series, Water Resources Research, 35, 523-534, 1999.
    • (1999) Water Resources Research , vol.35 , pp. 523-534
    • Lu, Z.Q.1    Berliner, L.M.2
  • 5
    • 0004066260 scopus 로고    scopus 로고
    • Wiley Series in Probability and statistics, USA
    • McLachlan, G., and D. Peel, Finite Mixture Models, Wiley Series in Probability and statistics, USA, 2000.
    • (2000) Finite Mixture Models
    • McLachlan, G.1    Peel, D.2
  • 6
    • 0033735872 scopus 로고    scopus 로고
    • Modeling long-term persistence in hydroclimatic time series using a hidden state Markov model
    • Thyer, M., and G. Kuczera, Modeling long-term persistence in hydroclimatic time series using a hidden state Markov model, Water Resources Research, 36, 3301-3310, 2000.
    • (2000) Water Resources Research , vol.36 , pp. 3301-3310
    • Thyer, M.1    Kuczera, G.2
  • 7
    • 0037466482 scopus 로고    scopus 로고
    • A hidden Markov model for modelling long-term persistence in multi-site rainfall time series. 1, Model calibration using a Bayesian approach
    • Thyer, M., and G. Kuczera, A hidden Markov model for modelling long-term persistence in multi-site rainfall time series. 1, Model calibration using a Bayesian approach, Journal of Hydrology, 275, 12-26, 2003a.
    • (2003) Journal of Hydrology , vol.275 , pp. 12-26
    • Thyer, M.1    Kuczera, G.2
  • 8
    • 0037466501 scopus 로고    scopus 로고
    • A hidden Markov model for modelling long-term persistence in multi-site rainfall time series. 2, Real data analysis
    • Thyer, M., and G. Kuczera, A hidden Markov model for modelling long-term persistence in multi-site rainfall time series. 2, Real data analysis, Journal of Hydrology, 275, 27-48, 2003b.
    • (2003) Journal of Hydrology , vol.275 , pp. 27-48
    • Thyer, M.1    Kuczera, G.2
  • 9
    • 0002226418 scopus 로고    scopus 로고
    • Moments of Markov switching models
    • Timmermann, A., Moments of Markov switching models, Journal of Econometrics, 96, 75-111, 2000.
    • (2000) Journal of Econometrics , vol.96 , pp. 75-111
    • Timmermann, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.