Fitting statistical distribution of extreme rainfall data for the purpose of simulation
In this study, several types of probability distributions were used to fit the daily torrential rainfall data from 15 monitoring stations of Peninsular Malaysia from the period of 1975 to 2007. The study of fitting statistical distribution is important to find the most suitable model that could anti...
Saved in:
Main Authors: | Shaharudin, S.M., Ahmad, N., Mohamed, N.S., Mahdin, Hairulnizam |
---|---|
Format: | Article |
Language: | English |
Published: |
Institute of Advanced Engineering and Science IAES
2020
|
Subjects: | |
Online Access: | http://eprints.uthm.edu.my/5271/1/AJ%202020%20%28135%29.pdf http://eprints.uthm.edu.my/5271/ https://dx.doi.org/10.11591/ijeecs.v18.i3.pp1367-1374 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhanced single exponential smoothing technique for extreme data
by: Noor Shahifah, Muhamad
Published: (2015) -
Comparison of daily rainfall forecasting using multilayer perceptron neural network model
by: Masngut, Mazwin Arleena, et al.
Published: (2020) -
Diameter prediction and optimization of hot extrusion-synthesized polypropylene filament using statistical and soft computing techniques
by: Ong, Pauline, et al.
Published: (2019) -
Robust percentile bootstrap test with modified one-step M-estimator (MOM): An alternative modern statistical analysis
by: Nurul Hanis, Harun
Published: (2015) -
Optimal statistical designs of multivariate EWMA and multivariate CUSUM charts based on average run length and median run leng
by: Lee, Ming Ha
Published: (2006)