References
- Biondi, D., and De Luca, D.L. (2012). "A Bayesian approach for real-time flood forecasting." Physics and Chemistry of the Earth, Vol. 42-44, pp. 91-97. https://doi.org/10.1016/j.pce.2011.04.004
- Cannon, A.J. (2011). "GEVcdn: An R package for nonstationary extreme value analysis by generalized extreme value conditional density estimation network." Computers and Geosciences, Vol. 37, pp. 1532-1533. https://doi.org/10.1016/j.cageo.2011.03.005
- Coulibaly, P., and Baldwin, C.K. (2005). "Nonstationary hydrological time series forecasting using nonlinear dynamic methods." Journal of Hydrology, Vol. 307, pp. 164-174. https://doi.org/10.1016/j.jhydrol.2004.10.008
- Jang, S.W., Seo, L., Kim, T.W., and Ahn, J.H. (2011). "Non-stationary Rainfall Frequency Analysis Based on Residual Analysis." Journal of Korean Society of Civil Engineers, Vol. 31, No. 5B, pp. 449-457.
- Kim, B.S., Lee, J.K., Kim, H.S., and Lee, J.W. (2011). "Non-stationary Frequency Analysis with Climate Variability using Conditional Generalized Extreme Value Distribution." Journal ofKoreanWetlands Society, Vol. 13, No. 3, pp. 499-514.
- Kim, D.H. (2011). Bayesian statistics using R and WinBUGS., Free Academy, pp. 209-216.
- Kim, W.S,, Shin, J.Y., Um, M.J., and Heo, J.H. (2012). "Analysis of Non-stationary Characteristics for Rainfall with the Trend Analysis of L-Moments." Journal of Korean Society of Hazard Mitigation, Vol. 12, No. 3, pp. 71-80. https://doi.org/10.9798/KOSHAM.2012.12.3.071
- Kottegoda, N.T., Natale, L., and Raiteri, E. (2011). "Simulation of climatic series with nonstationary trend periodicities." Journal of Hydrology, Vol. 398, pp. 33-43. https://doi.org/10.1016/j.jhydrol.2010.12.003
- Lee, C.H., Ahn, J.H., and Kim, T.W. (2010). "Evaluation of Probability Rainfalls Estimated from Nonstationary Rainfall Frequency Analysis." Journal of Korea Water Resources Association, Vol. 43, No 2, pp. 187-199. https://doi.org/10.3741/JKWRA.2010.43.2.187
- Lee, J.J., Kwon, H.H., and Hwang, K.N. (2010). "Concept of Seasonality Analysis of Hydrologic Extreme Variables and Design Rainfall Estimation Using Nonstationary Frequency Analysis." Journal of Korea Water Resources Association, Vol. 43, No. 8, pp. 733-745. https://doi.org/10.3741/JKWRA.2010.43.8.733
- Lee, J.J., Kwon, H.H., and Kim, T.W. (2010). "Concept of Trend Analysis of Hydrologic Extreme Variables and Nonstationary Frequency Analysis." Journal of Korean Society of Civil Engineers, Vol. 30, No. 4B, pp. 389-397.
- Sung, J.H., Kim, B.S., Kang, H.S., and Cho, C.H. (2012). "Non-stationary Frequency Analysis for Extreme Precipitation based on Representative Concentration Pathways (RCP) Climate Change Scenarios." Journal of Korean Society of Hazard Mitigation, Vol. 12, No 2, pp. 231-244. https://doi.org/10.9798/KOSHAM.2012.12.2.231
- Thyer, M., and Kuczera, G. (2003). "A hidden Markov model for modelling long-term persistence in multisite rainfall time series 1. Model calibration using a Bayesian approach." Journal of Hydrology, Vol. 275, pp. 12-26. https://doi.org/10.1016/S0022-1694(02)00412-2
- Villarini, G., Smith, J.A., and Napolitano, F. (2010), "Nonstationary modeling of a long record of rainfall and temperature over Rome." Advances inWater Resources, Vol. 33, pp. 1256-1267. https://doi.org/10.1016/j.advwatres.2010.03.013
Cited by
- Nonstationary Frequency Analysis Using a Hierarchical Bayesian Model vol.15, pp.5, 2015, https://doi.org/10.9798/KOSHAM.2015.15.5.19