Parameter estimation methods for non-stationary data using L-moments and TL-moments approaches
Non-stationary flood frequency analysis (NFFA) plays an important role in defining the probabilities of flood occurrences by taking into account of the non-independence and non-stationary aspects of hydrological extreme events data. This analysis overcomes the issue of the stationary assumptions (in...
Saved in:
Main Author: | Mat Jan, Nur Amalina |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | http://eprints.utm.my/102678/1/NurAmalinaMatJanPFS2021.pdf.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Estimating distribution parameters of extreme event using TL-moment method
by: Mat Jan, Nur Amalina
Published: (2014) -
Regional frequency analysis of maximum daily rainfalls using TL-Moment approach
by: Mohd. Ariff, Noratiqah
Published: (2009) -
Flood frequency analysis using TL- Moments approach
by: Ahmad, Ummi Nadiah @ Rozana
Published: (2012) -
Weighted central moment for image invarianceness
by: Pamungkas, Rela Puteri
Published: (2011) -
Parameter estimation and distribution identification by l-moments for rainfall frequency analysis
by: Choi, Lim Fatt
Published: (1997)