Multiple Linear Regression Model for Total Bed Material Load Prediction
A new total bed material load equation that is applicable for rivers in Malaysia was developed using multiple linear regression analyses. A total of 346 hydraulic and sediment data were collected from nine natural and channelized rivers having diverse catchment characteristics in Malaysia. The gover...
Published in: | Journal of Hydraulic Engineering |
---|---|
Main Author: | 2-s2.0-33645829512 |
Format: | Article |
Language: | English |
Published: |
American Society of Civil Engineers (ASCE)
2006
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-33645829512&doi=10.1061%2f%28ASCE%290733-9429%282006%29132%3a5%28521%29&partnerID=40&md5=baa72aa0278527170018372d743cbe45 |
Similar Items
-
Performance of multiple linear regression model for long-term PM 10 concentration prediction based on gaseous and meteorological parameters
by: 2-s2.0-84866261034
Published: (2012) -
Predicting Intention to Purchase Halal Products Among Malaysian Muslim Undergraduate Students Using Multiple Linear Regression
by: Zainnuddin P.F.A.; Azmi A.
Published: (2025) -
The performance of diagnostic-robust generalized potentials for the identification of multiple high leverage points in linear regression
by: Habshah M.; Norazan M.R.; Imon A.H.M.R.
Published: (2009) -
Comparison of Multiple Regression and Model Averaging Model-Building Approach for Missing Data with Multiple Imputation
by: 2-s2.0-85211465762
Published: (2024) -
An ANFIS-based approach for predicting the bed load for moderately sized rivers
by: 2-s2.0-67349204543
Published: (2009)