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REFERENCES

  • Beniston M, Diaz HF. 2004. The 2003 heat wave as an example of summers in a greenhouse climate? Observations and climate model simulations for Basel, Switzerland. Global and Planetary Change 44: 7381.
  • Beniston M, Stephenson DB. 2004. Extreme climatic events and their evolution under changing climatic conditions. Global and Planetary Change 44: 19.
  • Carlin BP, Gelfand AE, Smith AFM. 1992. Hierarchical Bayesian analysis of change-point problems. Applied Statistics 41: 389405.
  • Chen M-H, Shao Q-M, Ibrahim JG. 2000. Monte Carlo Methods in Bayesian Computation. Springer: New York.
  • Chu P-S, Zhao X. 2004. Bayesian change-point analysis of tropical cyclone activity: the Central North Pacific case. Journal of Climate 17: 49934901.
  • Coles S. 2001. An Introduction to Statistical Modeling of Extreme Values. Springer: London.
  • Congdon P. 2003. Applied Bayesian Modelling. Wiley: New York.
  • Cox DR, Isham VS, Northrop PJ. 2002. Floods: some probabilistic and statistical approaches. Philosophical Transactions of the Royal Society of London, Series A 360: 13891408.
  • Dahmen ER, Hall MJ. 1990. Screening of Hydrological Data, ILRI Publication No. 49. International Institute for Land Reclamation and Improvement (ILRI): Netherlands.
  • Drouin L, King N, Jacques L, Fortier I, Roy LA, Litvak E, Simard JO, Kosatsky T. 2005. The response of the Montreal Public Health Board to climate change: preventing access morbidity and mortality due to extreme summer temperatures in vulnerable human populations. In The Proceedings of the Conference “Adapting to Climate Change in Canada 2005: Understanding Risks and Building Capacity”, Montreal, Quebec; 4 to 7 May, 2005; 64.
  • Eischeid JK, Baker CB, Karl TR, Diaz HF. 1995. The quality control of long-term climatological data using objective data analysis. Journal of Applied Meteorology 34: 27872795.
  • Elsner JB, Bossak BH. 2001. Bayesian analysis of US hurricane climate. Journal of Climate 14: 43414350.
  • Elsner JB, Niu X, Bossak BH. 2004. Detecting shifts in hurricane rates using a Markov chain Monte Carlo approach. Journal of Climate 17: 26522666.
  • Epstein ES. 1985. Statistical Inference and Prediction in Climatology: A Bayesian Approach, Meteorological Monograph No. 42. American Meteorological Society: Boston.
  • GelmanA, CarlinJB, SternHS, RubinDB (eds). 2003. Bayesian Data Analysis. Chapman and Hall/CRC: Boca Raton.
  • Gill J. 2002. Bayesian Methods: A Social and Behavioral Sciences Approach. Chapman and Hall/CRC: Boca Raton.
  • Guttorp P. 1995. Stochastic Modeling of Scientific Data. Chapman and Hall: London.
  • Hoaglin DC, Mosteller F, Tukey JW. 1983. Understanding Robust and Exploratory Data Analysis. Wiley: New York.
  • Johnson NL, Kotz S, Kemp AW. 1992. Univariate Discrete Distributions, 2nd edn. Wiley: New York.
  • Katz RW. 2002. Stochastic modeling of hurricane damage. Journal of Applied Meteorology 4: 754762.
  • Kendall MG. 1975. Rank Correlation Methods. Charless Griffin: London.
  • Khaliq MN, St-Hilaire A, Ouarda TBMJ, Bobée B. 2005. Frequency analysis and temporal pattern of occurrences of Southern Quebec heatwaves. International Journal of Climatology 25: 485504.
  • Khaliq MN, Gachon P, St-Hilaire A, Ouarda TBMJ, Bobée B. 2006. Southern Quebec (Canada) summer-season heat spells over the 1941–2000 period: An assessment of observed changes. Theoretical and Applied Climatology. DOI 10.1007/s00704-006-0232-x.
  • Kunkel KE, Changnon SA, Reinke BC, Arritt RW. 1996. The July 1995 heat wave in the Midwest: a climate perspective and critical weather factors. Bulletin of the American Meteorological Society 77: 15071518.
  • Lanzante JR. 1996. Resistant, robust and non-parametric techniques for the analysis of climate data: theory and examples, including applications to historical radiosonde station data. International Journal of Climatology 16: 11971226.
  • Lund R, Reeves J. 2002. Detection of undocumented change points: a revision of the two-phase regression model. Journal of Climate 15: 25472554.
  • Rodriguez-Iturbe I, Cox DR, Isham V. 1987. Some models for rainfall based on stochastic point processes. Proceedings of the Royal Society of London, Series A 410: 269288.
  • Rootzén H, Tajvidi N. 1997. Extreme value statistics and wind storm losses: a case study. Scandinavian Acturial Journal 1997(1): 7094.
  • Salas JD, Delleur JW, Yevjevich VM, Lane WL. 1980. Applied Modeling of Hydrologic Time Series. Water Resources Publications: Littleton, CO; 484.
  • Schär C, Vidale PL, Luthi D, Frei C, Haberli C, Liniger MA, Appenzeller C. 2004. The role of increasing temperature variability in European summer heatwaves. Nature 427: 332335.
  • Schwarz G. 1978. Estimating the dimension of a model. The Annals of Statistics 6: 461464.
  • Sen PK. 1968. Estimates of the regression coefficient based on Kendall's tau. Journal of the American Statistical Association 63: 13791389.
  • Siegel S, Castellan NJ Jr. 1988. Nonparametric Statistics for the Behavioral Sciences. McGraw-Hill: New York.
  • Solow AR. 1987. Testing for climate change: An application of the two-phase regression model. Journal of Applied Meteorology 26: 14011405.
  • Vincent LA, Zhang X, Bonsal BR, Hogg WD. 2000. Homogenized daily temperatures for trend analyses in extremes over Canada. In Proceedings of the 12th Conference on Applied Climatology, Ashville, NC, American Meteorological Society 8689.
  • Vincent LA, Zhang X, Bonsal BR, Hogg WD. 2002. Homogenization of daily temperatures over Canada. Journal of Climate 15: 13221334.
  • WHO. 2003. The Health Impacts of 2003 Summer Heat-Waves. Briefing note for the delegations of the fifty-third session of the WHO (World Health Organization) Regional Committee for Europe.
  • Zelenhasić E, Salvai A. 1987. A method of streamflow drought analysis. Water Resources Research 23(1): 156168.