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Volumn 15, Issue 6, 2006, Pages 593-609

A flexible class of parametric transition regression models based on copulas: Application to poliomyelitis incidence

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BAYES THEOREM; BIVARIATE ANALYSIS; CONTROLLED STUDY; CORRELATION ANALYSIS; FREQUENCY ANALYSIS; INCIDENCE; LINEAR SYSTEM; LONGITUDINAL STUDY; MATHEMATICAL COMPUTING; MAXIMUM LIKELIHOOD METHOD; NORMAL DISTRIBUTION; PARAMETRIC TEST; POISSON DISTRIBUTION; POLIOMYELITIS; PROBABILITY; REGRESSION ANALYSIS; SEASONAL VARIATION; TIME SERIES ANALYSIS;

EID: 33846231859     PISSN: 09622802     EISSN: None     Source Type: Journal    
DOI: 10.1177/0962280206070645     Document Type: Article
Times cited : (15)

References (27)
  • 1
    • 0032700779 scopus 로고    scopus 로고
    • Markov Poisson regression models for discrete time series. Part 1: Methodology
    • Wang P, Puterman M. Markov Poisson regression models for discrete time series. Part 1: methodology. Journal of Applied Statistics 1999; 26: 855-69.
    • (1999) Journal of Applied Statistics , vol.26 , pp. 855-869
    • Wang, P.1    Puterman, M.2
  • 2
    • 0033565436 scopus 로고    scopus 로고
    • Longitudinal data analysis (repeated measures) in clinical trials
    • Albert PS. Longitudinal data analysis (repeated measures) in clinical trials. Statistics in Medicine 1999; 18: 1707-32.
    • (1999) Statistics in Medicine , vol.18 , pp. 1707-1732
    • Albert, P.S.1
  • 4
    • 0024204207 scopus 로고
    • Markov regression models for time series: A quasi-likelihood approach
    • Zeger SL, Qaqish B. Markov regression models for time series: a quasi-likelihood approach. Biometrics 1988; 44: 1019-31.
    • (1988) Biometrics , vol.44 , pp. 1019-1031
    • Zeger, S.L.1    Qaqish, B.2
  • 5
    • 0032527753 scopus 로고    scopus 로고
    • A two-state Markov chain for heterogeneous transitional data: A quasi-likelihood approach
    • Albert PS, Waclawiw MA. A two-state Markov chain for heterogeneous transitional data: a quasi-likelihood approach. Statistics in Medicine 1998; 17: 1481-93.
    • (1998) Statistics in Medicine , vol.17 , pp. 1481-1493
    • Albert, P.S.1    Waclawiw, M.A.2
  • 8
    • 0030327109 scopus 로고    scopus 로고
    • Modeling flat stretches, burst and outliers in time series using mixture transition distribution models
    • Le ND, Martin RD, Raftery AE. Modeling flat stretches, burst and outliers in time series using mixture transition distribution models. Journal of the American Statistical Association 1996; 91: 1504-15.
    • (1996) Journal of the American Statistical Association , vol.91 , pp. 1504-1515
    • Le, N.D.1    Martin, R.D.2    Raftery, A.E.3
  • 9
    • 0013136164 scopus 로고
    • A regression model for time series of counts
    • Zeger SL. A regression model for time series of counts. Biometrika 1988; 75: 621-9.
    • (1988) Biometrika , vol.75 , pp. 621-629
    • Zeger, S.L.1
  • 10
    • 0642275687 scopus 로고    scopus 로고
    • Parameter estimation for a special class of Markov chains
    • Schäbe H. Parameter estimation for a special class of Markov chains. Statistical Papers 1997; 38: 303-27.
    • (1997) Statistical Papers , vol.38 , pp. 303-327
    • Schäbe, H.1
  • 11
    • 0003792072 scopus 로고    scopus 로고
    • Multivariate models and dependence concepts
    • Chapman & Hall
    • Joe H. Multivariate models and dependence concepts. Chapman & Hall, 1997.
    • (1997)
    • Joe, H.1
  • 12
    • 0032656018 scopus 로고    scopus 로고
    • Correlations and copulas for decision and risk analysis
    • Clemen RT, Reilly T. Correlations and copulas for decision and risk analysis. Management Science 1999; 45: 208-24.
    • (1999) Management Science , vol.45 , pp. 208-224
    • Clemen, R.T.1    Reilly, T.2
  • 13
    • 0034336065 scopus 로고    scopus 로고
    • Multivariate dispersion models generated from Gaussian copula
    • Song PXK. Multivariate dispersion models generated from Gaussian copula. Scandinavian Journal of Statistics 2000; 27: 305-20.
    • (2000) Scandinavian Journal of Statistics , vol.27 , pp. 305-320
    • Song, P.X.K.1
  • 14
    • 77956889117 scopus 로고
    • A class of multivariate failure time distributions
    • Hougaard P. A class of multivariate failure time distributions. Biometrika 1986; 73: 671-8.
    • (1986) Biometrika , vol.73 , pp. 671-678
    • Hougaard, P.1
  • 15
    • 0041419360 scopus 로고    scopus 로고
    • The mixture transition distribution model for high-order Markov chains and non-Gaussian time series
    • Berchtold A, Raftery AE. The mixture transition distribution model for high-order Markov chains and non-Gaussian time series. Statistical Science 2002; 17: 328-56.
    • (2002) Statistical Science , vol.17 , pp. 328-356
    • Berchtold, A.1    Raftery, A.E.2
  • 17
    • 33846227793 scopus 로고    scopus 로고
    • Stationary mixture transition distribution (MTD) models via predictive distributions
    • in press
    • Mena RH, Walker SG. Stationary mixture transition distribution (MTD) models via predictive distributions. Journal of Statistical Planning and Inference 2007, in press.
    • (2007) Journal of Statistical Planning and Inference
    • Mena, R.H.1    Walker, S.G.2
  • 19
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • Schwarz G. Estimating the dimension of a model. The Annals of Statistics 1978; 8: 461-4.
    • (1978) The Annals of Statistics , vol.8 , pp. 461-464
    • Schwarz, G.1
  • 20
    • 0000501656 scopus 로고
    • Information theory and an extension of the maximum likelihood principle
    • In Petrov BN, Csaki eds. Akademia Kaido
    • Akaike H. Information theory and an extension of the maximum likelihood principle. In Petrov BN, Csaki eds. Proceedings of Second International Symposium on Information Theory. Akademia Kaido, 1973: 267-81.
    • (1973) Proceedings of Second International Symposium on Information Theory , pp. 267-281
    • Akaike, H.1
  • 21
    • 0016355478 scopus 로고
    • A new loook at the statistical model identification
    • Akaike H. A new loook at the statistical model identification. IEEE Transactions on Automatic Control 1974; AC-19: 716-23.
    • (1974) IEEE Transactions on Automatic Control , vol.AC-19 , pp. 716-723
    • Akaike, H.1
  • 22
    • 0016556675 scopus 로고
    • Determination of the order of a Markov chain by Akaike's information criterion
    • Tong H. Determination of the order of a Markov chain by Akaike's information criterion. Journal of Applied Probability 1975; 12: 488-97.
    • (1975) Journal of Applied Probability , vol.12 , pp. 488-497
    • Tong, H.1
  • 23
    • 0019598027 scopus 로고
    • On some criteria for estimating the order of a Markov chain
    • Katz RW. On some criteria for estimating the order of a Markov chain. Technometrics 1981; 23: 243-9.
    • (1981) Technometrics , vol.23 , pp. 243-249
    • Katz, R.W.1
  • 24
    • 0001006927 scopus 로고    scopus 로고
    • Bayesian model choice: What and why?
    • (with discussion) In Bernardo JM, Berger JO, Dawid AP, Smith AFM. eds. Oxford University Press
    • Key JT, Perichi RL, Smith FM. Bayesian model choice: what and why? (with discussion). In Bernardo JM, Berger JO, Dawid AP, Smith AFM. eds. Bayesian Statistics 6. Oxford University Press, 1999: 343-70.
    • (1999) Bayesian Statistics , vol.6 , pp. 343-370
    • Key, J.T.1    Perichi, R.L.2    Smith, F.M.3
  • 27
    • 0026652789 scopus 로고
    • Maximum penalized likelihood estimation for independent and Markov dependent mixture models
    • Leroux BG, Puterman ML. Maximum penalized likelihood estimation for independent and Markov dependent mixture models. Biometrics 1992; 48: 545-58.
    • (1992) Biometrics , vol.48 , pp. 545-558
    • Leroux, B.G.1    Puterman, M.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.