Flood Frequency Analysis Employing Bayesian Regional Regression And Imperfect Historical Information
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Flood Frequency Analysis Employing Bayesian Regional Regression and Imperfect Historical Information
Flood Frequency Analysis Employing Bayesian Regional Regression and Imperfect Historical Information
This thesis focuses on development of a Bayesian methodology for analysis of regional Generalized Least Squares (GLS) regression models, and the use of regional regression models and imperfect historical and palaeoflood information to reduce the uncertainty in flood quantile estimators.