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Part of the book series: Topics in Safety, Risk, Reliability and Quality ((TSRQ,volume 22))

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Abstract

This chapter constitutes a review of methods employed within probability analysis and presents principles of probability theory as well as statistics concepts for risk and reliability analysis of hydrosystem engineering. Next in this chapter, the concept and application of discrete and continues random variables are briefly offered. Furthermore, commonly used probability distributions are presented with a number of straightforward examples to better understand the implementation of random variables and probability distributions in water resources engineering.

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    Internet Center for Management and Business Administration.

References

  • Internet Center for Management and Business Administration. (2008). Quick MBA Statistics. Retrieved from http://www.quickmba.com/stats/probability.

  • Mays, L. W., & Tung, Y. K. (1992). Hydrosystems engineering and management. New York: Mc Grow-Hill.

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  • McCuen, R. (2005). Hydrologic analysis and design. New Jersey: Pearson Prentice Hall.

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  • Tung, Y.K., & Yen, B.C., Melching, C.S. (2005). Hydrosystems engineering reliability assessment and risk analysis, McGraw–Hill Professional, New York.

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Correspondence to Ehsan Goodarzi .

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© 2013 Springer Science+Business Media Dordrecht

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Goodarzi, E., Ziaei, M., Teang Shui, L. (2013). Probability Theories. In: Introduction to Risk and Uncertainty in Hydrosystem Engineering. Topics in Safety, Risk, Reliability and Quality, vol 22. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5851-3_2

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  • DOI: https://doi.org/10.1007/978-94-007-5851-3_2

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-5850-6

  • Online ISBN: 978-94-007-5851-3

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