Generalized Frequency Distributions for Environmental and Water Engineering
eBook - PDF

Generalized Frequency Distributions for Environmental and Water Engineering

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Generalized Frequency Distributions for Environmental and Water Engineering

About this book

A multitude of processes in hydrology and environmental engineering are either random or entail random components which are characterized by random variables. These variables are described by frequency distributions. This book provides an overview of different systems of frequency distributions, their properties, and applications to the fields of water resources and environmental engineering. A variety of systems are covered, including the Pearson system, Burr system, and systems commonly applied in economics, such as the D'Addario, Dagum, Stoppa, and Esteban systems. The latter chapters focus on the Singh system and the frequency distributions deduced from Bessel functions, maximum entropy theory, and the transformations of random variables. The final chapter introduces the genetic theory of frequency distributions. Using real-world data, this book provides a valuable reference for researchers, graduate students, and professionals interested in frequency analysis.

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Yes, you can access Generalized Frequency Distributions for Environmental and Water Engineering by Vijay P. Singh,Lan Zhang in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Hydrology. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Cambridge University Press
Year
2022
Print ISBN
9781316516843
eBook ISBN
9781009036009
Topic
Physical Sciences
Subtopic
Hydrology

Table of contents

  1. Cover
  2. Half-title page
  3. Title page
  4. Copyright information page
  5. Dedication
  6. Contents
  7. Preface
  8. Acknowledgments
  9. 1 Introduction
  10. 2 Burr-Singh-Maddala Distribution
  11. 3 Halphen Type A Distribution
  12. 4 Halphen Type B Distribution
  13. 5 Halphen Inverse B Distribution
  14. 6 Three-Parameter Generalized Gamma Distribution
  15. 7 Generalized Beta Lomax Distribution
  16. 8 Feller-Pareto Distribution
  17. 9 Kappa Distribution
  18. 10 Four-Parameter Exponential Gamma Distribution
  19. 11 Summary: Comparison of Real-World Applications
  20. Appendix General Procedure for Goodness-of-Fit Study, Construction of Confidence Interval, and 95% Confidence Bound with Parametric Bootstrap Method
  21. Index