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12 - Water Quality Analysis

from Part Two - Applications

Published online by Cambridge University Press:  03 January 2019

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

This chapter discusses how to apply copulas in water quality analysis. For monthly water quality observations, applications will include (i) a copula-based Markov process to study the water quality sequence with temporal dependence; and (ii) a copula-based multivariate water quality time series analysis. This chapter is in line with Chapter 9.

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Chapter
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Publisher: Cambridge University Press
Print publication year: 2019

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References

References

Box, G. E. P., Jenkis, G. M., and Reinsel, G. C. (2007) Time Series Analysis: Forecasting and Control, 5th edition. John Wiley and Sons, Inc., Hoboken.Google Scholar
Kotz, S., and Nadarajah, S. (2004) Multivariate t Distributions and Their Applications. Cambridge University Press, Cambridge.Google Scholar

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  • Water Quality Analysis
  • 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/10.1017/9781108565103.013
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  • Water Quality Analysis
  • 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/10.1017/9781108565103.013
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.

  • Water Quality Analysis
  • 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/10.1017/9781108565103.013
Available formats
×