Book contents
- Generalized Frequency Distributions for Environmental and Water Engineering
- Generalized Frequency Distributions for Environmental and Water Engineering
- Copyright page
- Dedication
- Contents
- Preface
- Acknowledgments
- 1 Introduction
- 2 Burr–Singh–Maddala Distribution
- 3 Halphen Type A Distribution
- 4 Halphen Type B Distribution
- 5 Halphen Inverse B Distribution
- 6 Three-Parameter Generalized Gamma Distribution
- 7 Generalized Beta Lomax Distribution
- 8 Feller–Pareto Distribution
- 9 Kappa Distribution
- 10 Four-Parameter Exponential Gamma Distribution
- 11 Summary
- Appendix General Procedure for Goodness-of-Fit Study, Construction of Confidence Interval, and 95% Confidence Bound with Parametric Bootstrap Method
- Index
- References
1 - Introduction
Published online by Cambridge University Press: 13 April 2022
- Generalized Frequency Distributions for Environmental and Water Engineering
- Generalized Frequency Distributions for Environmental and Water Engineering
- Copyright page
- Dedication
- Contents
- Preface
- Acknowledgments
- 1 Introduction
- 2 Burr–Singh–Maddala Distribution
- 3 Halphen Type A Distribution
- 4 Halphen Type B Distribution
- 5 Halphen Inverse B Distribution
- 6 Three-Parameter Generalized Gamma Distribution
- 7 Generalized Beta Lomax Distribution
- 8 Feller–Pareto Distribution
- 9 Kappa Distribution
- 10 Four-Parameter Exponential Gamma Distribution
- 11 Summary
- Appendix General Procedure for Goodness-of-Fit Study, Construction of Confidence Interval, and 95% Confidence Bound with Parametric Bootstrap Method
- Index
- References
Summary
Several generalized frequency distributions have been employed in environmental and water engineering over the years. These distributions are quite versatile and can apply to frequency analysis of a wide variety of random variables, such as flood peaks, volume, duration, and inter-arrival time; extreme rainfall amount, duration, spatial coverage, and inter-arrival time; drought duration, severity, spatial extent, and inter-arrival time; wind speed, duration, direction, and spatial coverage; water quality parameters; and sediment concentration, discharge, and yield. However, because of their relatively complex form, these distributions have not become as popular as the simpler distributions. These distributions have at least three but usually more parameters, which have been estimated using the methods of moments, maximum likelihood, probability weighted moments, and L-moments. In some cases, entropy theory has been used to estimate parameters. This chapter provides a snapshot of the generalized distributions that will be discussed in this book. Moreover, a short discussion of the methods of parameter estimation, goodness-of-fit statistics, and confidence intervals is provided.
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- Publisher: Cambridge University PressPrint publication year: 2022