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Evaluating statistical goodness-of-fit estimators for skewed hydrologic data
Barber, Caitline.
2020
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Description
Thesis (M.S.)--Tufts University, 2020.
Submitted to the Dept. of Civil Engineering.
Advisor: Jonathan Lamontagne.
Committee: Richard Vogel, and Peter Weiskel.
Keyword: Environmental engineering.
This object is in collection
School of Engineering Scholarship
Theses and Dissertations
Creator department
Tufts University. Department of Civil and Environmental Engineering.
Thesis Type
Master's
Subject
Monte Carlo method
Hydrologic models
Goodness-of-fit tests
Genre
Tufts dissertations and theses.
Academic theses.
Permanent URL
http://hdl.handle.net/10427/H415PR04P
ID:
h415pr04p
To Cite:
TARC Citation Guide
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