References
- 김기욱, 유철상, 박민규, 김현준(2007). “강우빈도해석에 서의측우기자료의유용성평가.” 한국수자원학회논문집, 한국수자원학회, 제40권, 제11호, pp. 851-859.
- 김상욱, 이길성(2008a). “Bayesian MCMC를 이용한 저수량 점 빈도해석: I. 이론적 배경과 사전분포의 구축.” 한국수자원학회논문집, 한국수자원학회, 제41권, 제1호, pp. 35-47. https://doi.org/10.3741/JKWRA.2008.41.1.035
- 김상욱, 이길성(2008b). “Bayesian MCMC를 이용한 저수량 점 빈도해석: II. 적용과 비교분석.” 한국수자원학회논문집, 한국수자원학회, 제41권, 제1호, pp. 49-63. https://doi.org/10.3741/JKWRA.2008.41.1.049
- 김상욱, 이길성(2008c). “Bayesian 다중회귀분석을 이용한 저수량(Low flow) 지역 빈도분석.” 한국수자원학회논문집, 한국수자원학회, 제41권, 제3호, pp. 325-340. https://doi.org/10.3741/JKWRA.2008.41.3.325
- 김상욱, 이길성(2008d). “베이지안 회귀분석을 이용한 수위-유량관계곡선의 불확실성 분석.” 한국수자원학회논문집, 한국수자원학회, 제41권, 제9호, pp. 943-958. https://doi.org/10.3741/JKWRA.2008.41.9.943
- 이병설(1970). “서울의 연강수량 및 하기강수량의 Normality에 관한 연구.” 한국기상학회지, 한국기상학회, 제5권, pp. 11-14.
- 전종갑, 문병권(1997). “측우기 강우량 자료의 복원과 분석.” 한국기상학회지, 한국기상학회, 제33권, 제4호, pp. 691-707.
- 정현숙, 임규호(1994). “서울 지역 월강수량 강수일의 관계, 1770-1907.” 한국기상학회지, 한국기상학회, 제30권, 제4호, pp. 487-505.
- 조희구, 나일성(1979). “18세기한국의기후변동: 강우량을 중심으로.” 동방학지, 제22권, pp. 83-103.
- 황석환, 김중훈, 유철상, 유도근(2009). “서울지점 강우자료의 정량적 동질성 분석.” 한국방재학회논문집, 한국방재학회, 제9권, 제4호, pp. 29-35.
- Barry, D., and Hartigan, J.A. (1992). “Product partition models for change point problems.” The annals of Statistics, Vol. 20, No. 1, pp. 260-279. https://doi.org/10.1214/aos/1176348521
- Barry, D., and Hartigan, J.A. (1993). “A bayesian analysis for change point problems.” Journal of the American Statistical Association, Vol. 88, No. 421, pp. 309-319. https://doi.org/10.2307/2290726
- Erdman, C., and Emerson, J.W. (2007b). “bcp: A Package for Performing a Bayesian Analysis of Change Point Problems.” R package version 1.8.4, URL http://CRAN.Rproject.org/.
- Kuczera, G. (1999). “Comprehensive at-site flood frequency analysis using Monte Carlo Bayesian inference.” Water Resources Research, Vol. 35, No. 5, pp. 1551-1557. https://doi.org/10.1029/1999WR900012
- Madsen, H., and Rojsberg, H.D. (1997). “Generalized least squares and empirical Bayes estimation in regional partial duration series index flood modeling.” Water Resources Research, Vol. 33, No. 4, pp. 771-781. https://doi.org/10.1029/96WR03850
- O'Connel, D.R.H., Ostenaa, D.A., Levish, D.R., and Klinger, R.E. (2002). “Bayesian flood frequency analysis with paleohydrologic bound data.” Water Resources Research, Vol. 38, Issue 5, p. 1058. https://doi.org/10.1029/2000WR000028
- Perreault, L., Bernier, J., Bobee, B., and Parent, E. (2000a). “Bayesian change-point analysis in hydrometeorological time series. Part 1. The normal model revisited.” Journal of Hydrology, Vol. 235, pp. 221-241. https://doi.org/10.1016/S0022-1694(00)00270-5
- Perreault, L., Bernier, J., Bobee, B., and Parent, E. (2000b). “Bayesian change-point analysis in hydrometeorological time series. Part 2. Comparison of change-point models and forecasting.” Journal of Hydrology, Vol. 235, pp. 242-263. https://doi.org/10.1016/S0022-1694(00)00271-7
- Reis Jr., D.S., and Stedinger, J.R. (2005). “Bayesian MCMC flood frequency analysis with historical information.” Journal of Hydrology, Vol. 313, pp. 97-116. https://doi.org/10.1016/j.jhydrol.2005.02.028
- Reis Jr., D.S., Stedinger, J.R., and Martins, E.S. (2005). “Bayesian generalized least squares regression with application to long Pearson type III regional skew estimation.” Water Resources Research, Vol. 41, W10419. https://doi.org/10.1029/2004WR003445
- Seidou, O., Ouarda, T.B.M.J., Barbet, M., Bruneau, P., and Bobee, B. (2006). “A parametric Bayesian combination of local and regional information in flood frequency analysis.” Wate Resources Research, Vol. 42, W11408. https://doi.org/10.1029/2005WR004397
- Vicens, G.J., Rodriguez-Itrube, I., and Schaake Jr., J.C. (1975). “A Bayesian Framework for the Use of Regional Information in Hydrology.”Water Reources Research, Vol. 11, No. 3, pp. 405-414. https://doi.org/10.1029/WR011i003p00405
- Wood, E.F., and Rodriguez-Itrube, I. (1975a). “Bayesian Inference and Decision Making for Extreme Hydrologic Events.” Water Resources Research, Vol. 11, No. 4, pp. 533-542. https://doi.org/10.1029/WR011i004p00533
- Wood, E.F., and Rodriguez-Itrube, I. (1975b). “Bayesian Approach to Analyze Uncertainty Among Flood Frequency Models.”Water Resources Research, Vol. 11, No. 6, pp. 839-843. https://doi.org/10.1029/WR011i006p00839
- Yao, Y.C. (1984). “Estimation of a noisy discrete-time step function: bayes and empirical bayes approaches.” Annals of Statistics, Vol. 12, pp. 1434-1447. https://doi.org/10.1214/aos/1176346802
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