SEARCH

SEARCH BY CITATION

REFERENCES

  • Akaike H. 1974. A new look at the statistical model identification. IEEE Transactions on Automatic Control 19: 716723.
  • Alexander LV, Zhang X, Peterson TC, Caesar J, Gleason B, Klein Tank A, Haylock M, Collins D, Trewin B, Rahimzadeh F, Tagipour A, Ambenje P, Rupa Kumar K, Revadekar J, Griffiths G, Vincent L, Stephenson DB, Burn J, Aguliar E, Brunet M, Taylor M, New M, Zhai P, Rusticucci M, Vazquez-Aguirre JL. 2006. Global observed changes in daily climate extremes of temperature and precipitation. Journal of Geophysical Research 111: D05109. DOI: 10.1029/2005JD006290
  • Buishand AT. 1991. Extreme rainfall estimation by combining data from several sites. Hydrological Sciences Journal 36: 345365.
  • Burnham KP, Anderson DR. 2002. Model Selection and Multimodel Inference: A Practical Information-theoretic Approach (2nd ed.), Springer-Verlag: New York.
  • Cannon AJ. 2010. A flexible nonlinear modelling framework for nonstationary generalized extreme value analysis in hydroclimatology. Hydrological Processes 24: 673685.
  • Chavez-Demoulin V, Davison AC. 2005. Generalized additive modelling of sample extremes. Applied Statistics 54: 207222.
  • Claeskens G, Hjort NL. 2008. Model Selection and Model Averaging. Cambridge University Press: Cambridge.
  • Coles GS. 2001. An Introduction to Statistical Modeling of Extreme Values. Springer: New York.
  • Coles GS, Casson E. 1999. Extreme value modelling of hurricane wind speeds, Structural Safety 20: 283296.
  • Coles S, Stephenson A. 2010. ismev: an introduction to statistical modelling of extreme values. R package version 1.35. http://CRAN.R-project.org/package=ismev.
  • De Haan L. 1984. A spectral representation for max-stable processes. Annals of Probability 12: 11941204.
  • DiCiccio TJ, Efron B. 1996. Bootstrap confidence intervals (with discussion). Statistical Science 11: 189228.
  • Efron B. 1979. Bootstrap methods: another look at the jackknife. Annals of Statistics 7: 126.
  • Efron B. 1987. Better bootstrap confidence intervals (with discussion). Journal of the American Statistical Association 82: 171200.
  • Efron B, Tibshirani R. 1993. An Introduction to the Bootstrap. Chapman and Hall/CRC: Boca Raton, FL.
  • El Adlouni S, Ouarda T, Zhang X, Roy R, Bobee B. 2007. Generalized maximum likelihood estimators for the non-stationary generalized extreme value model. Water Resources Research 43: W03410. DOI: 10.1029/2005WR004545
  • Fisher RA, Tippett LHC. 1928. Limiting forms of the frequency distributions of the largest or smallest member of a sample. Proceedings of the Cambridge Philosophical Society 24: 180190.
  • Fowler HJ, Wilby RL. 2010. Detecting changes in seasonal precipitation extremes using regional climate model projections: implications for managing fluvial flood risk. Water Resources Research 46: W03525. DOI: 10.1029/2008WR007636
  • Fowler HJ, Cooley D, Sain SR, Thurston M. 2010. Detecting change in UK extreme precipitation using results from the climateprediction.net BBC Climate Change Experiment. Extremes 13: 241267.
  • Freedman DA. 1981. Bootstrapping regression models. Annals of Statistics 9: 12181228.
  • Gellens D. 2002. Combining regional approach and data extension procedure for assessing GEV distribution of extreme precipitation in Belgium. Journal of Hydrology 268: 113126.
  • Hosking J. 1990. L-moments: analysis and estimation of distributions using linear combinations of order statistics. Journal of the Royal Statistical Society, Series B 52: 105124.
  • Jain S, Lall U. 2001. Floods in a changing climate: does the past represent the future? Water Resources Research 37: 31933205.
  • Jenkinson AF. 1955. The frequency distribution of the annual maximum (or minimum) values of meteorological elements. Quarterly Journal of the Royal Meteorological Society 81: 158171.
  • Kadane JB, Lazar NA. 2004. Methods and criteria for model selection. Journal of the American Statistical Association 99: 279290.
  • Kass R, Raftery A. 1995. Bayes factors. Journal of the American Statistical Association 90: 773795.
  • Katz RW, Parlange MB, Naveau P. 2002. Statistics of extremes in hydrology. Advances in Water Resources 25: 12871304.
  • Koutsoyiannis D. 2004. Statistics of extremes and estimation of extreme rainfall, 1. Theoretical investigation. Hydrological Sciences Journal 49: 575690.
  • Koutsoyiannis D. 2006. Non-stationarity versus scaling in hydrology. Journal of Hydrology 324: 239354.
  • Koutsoyiannis D. 2011. Hurst–Kolmogorov dynamics and uncertainty. Journal of the American Water Resources Association 47: 481495.
  • Koutsoyiannis D, Montanari A. 2007. Statistical analysis of hydroclimatic time series. Uncertainty and insights. Water Resources Research 43: W05429. DOI: 10.1029/2006WR005592.
  • Kysely J. 2008. A cautionary note on the use of nonparametric bootstrap for estimating uncertainties in extreme-value models. Journal of Applied Meteorology and Climatology 47: 32363251.
  • Leclerc M, Ouarda T. 2007. Non-stationary regional flood frequency analysis at ungauged sites. Journal of Hydrology 343: 254265.
  • Lins HF, Cohn TA. 2011. Stationarity: wanted dead or alive? Journal of the American Water Resources Association 47: 475480.
  • Maidment DR. 1993. Handbook of Hydrology. McGraw-Hill: New York.
  • Mamassis N, Koutsoyiannis D. 1996. Influence of atmospheric circulation types on space-time distribution of intense rainfall. Journal of Geophysical Research 101(D21): 26,26726,276.
  • Martins ES, Stedinger JR. 2000. Generalized maximum-likelihood generalized extreme-value quantile estimators for hydrologic data. Water Resources Research 36: 737744.
  • Milly PCD, Betancourt J, Falkenmark M, Hirsch M, Kundzewicz ZW, Lettenmaier DP, Stouffer RJ. 2008. Stationarity is dead: whither water management? Science 319: 573574.
  • Mudelsee M, Börngen M, Tetzlaff G, Grünewald U. 2003. No upward trends in the occurrence of extreme floods in central Europe. Nature 425: 166169.
  • Nelder JA, Mead R. 1965. A simplex algorithm for function minimization. Computer Journal 7: 308313.
  • Nogaj M, Parey S, Dacunha-Castelle D. 2007. Non-stationary extreme models and a climatic application. Nonlinear Processes in Geophysics 14: 305316.
  • Panagoulia D, Grammatikogiannis A, Bárdossy A. 2006a. An automated classification method of daily circulation patterns for surface climate data downscaling based on optimised fuzzy rules. Global Nest Journal 8: 218223.
  • Panagoulia D, Bárdossy A, Lourmas G. 2006b. Diagnostic statistics of daily rainfall variability in an evolving climate. Advances in Geosciences 7: 349354.
  • Panagoulia D, Bárdossy A, Lourmas G. 2008. Multivariate stochastic downscaling model for generating precipitation and temperature of climate change based on atmospheric circulation atmospheric circulation. Global Nest Journal 10: 263272.
  • Prudhomme C, Jakob D, Svensson C. 2003. Uncertainty and climate change impact on the flood regime of small UK catchments. Journal of Hydrology 277: 123.
  • Qi Y. 2008. Bootstrap and empirical likelihood methods in extremes. Extremes 11: 8197.
  • R Development Core Team. 2011. R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://www.R-project.org/
  • Reiss RD, Thomas M. 2007. Statistical Analysis of Extreme Values with Applications to Insurance, Finance, Hydrology and Other Fields (3rd ed.), Birkhauser: Basel.
  • Roeckner E, Arpe K, Bengtsson L, Christoph M, Claussen M, Dümenil L, Esch M, Giorgetta M, Schlese U, Schulzweida U. 1996. The atmospheric general circulation model ECHAM-4: model description and simulation of present-day climate. Report No. 218. Max-Planck Institute for Meteorology, Hamburg, Germany, 90pp.
  • Royston P, Altman D. 1994. Regression using fractional polynomials of continuous covariates: parsimonious parametric modelling (with discussion). Applied Statistics 43: 429467.
  • Sahinler S, Topuz D. 2007. Bootstrap and jackknife resampling algorithms for estimation of regression parameters. Journal of Applied Quantitative Methods 2: 188199.
  • Schwarz GE. 1978. Estimating the dimension of a model. Annals of Statistics 6: 461464.
  • Shao J. 1996. Bootstrap model selection. Journal of the American Statistical Association 91: 655665.
  • Stine R. 1985. Bootstrap prediction intervals for regression. Journal of the American Statistical Association 80: 10261031.
  • Villarini G, Smith J, Baeck ML, Vitolo R, Stephenson D, Krajewski W. 2011. On the frequency of heavy rainfall for the Midwest of the United States. Journal of Hydrology 400: 103120.
  • Walshaw D. 2000. Modelling extreme wind speeds in regions prone to hurricanes. Applied Statistics 49: 5162.
  • Westra S, Sisson S. 2011. Detection of non-stationarity in precipitation extremes using max-stable process model. Journal of Hydrology 406: 119128.