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2 - Preliminaries

from Part One - Theory

Published online by Cambridge University Press:  03 January 2019

Lan Zhang  and
V. P. Singh
Lan Zhang
Affiliation:
Texas A & M University
V. P. Singh
Affiliation:
Texas A & M University
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Summary

Bivariate or multivariate frequency analysis entails univariate distributions that are determined by empirical fitting to data. The fitting, in turn, requires the determination of distribution parameters and the assessment of the goodness of fit. In practical applications, such as hydrologic design, risk analysis is also needed. The objective of this chapter, therefore, is to briefly discuss these basic elements, which are needed for frequency analysis and will be needed in subsequent chapters.

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Copulas and their Applications in Water Resources Engineering , pp. 20 - 61
Publisher: Cambridge University Press
Print publication year: 2019

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  • Preliminaries
  • Lan Zhang, Texas A & M University, V. P. Singh, Texas A & M University
  • Book: Copulas and their Applications in Water Resources Engineering
  • Online publication: 03 January 2019
  • Chapter DOI: https://doi.org/10.1017/9781108565103.003
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  • Preliminaries
  • Lan Zhang, Texas A & M University, V. P. Singh, Texas A & M University
  • Book: Copulas and their Applications in Water Resources Engineering
  • Online publication: 03 January 2019
  • Chapter DOI: https://doi.org/10.1017/9781108565103.003
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Preliminaries
  • Lan Zhang, Texas A & M University, V. P. Singh, Texas A & M University
  • Book: Copulas and their Applications in Water Resources Engineering
  • Online publication: 03 January 2019
  • Chapter DOI: https://doi.org/10.1017/9781108565103.003
Available formats
×