Revised normal ratio methods for imputation of missing rainfall data / Siti Nur Zahrah Amin Burhanuddin, Sayang Mohd Deni and Norazan Mohamed Ramli
A good quality of rainfall data is highly necessary in hydrological and meteorological analyses. Lack of quality in rainfall data will influence the process of analyses and subsequently, produce misleading results. Thus, this study is aimed to propose modified missing rainfall data treatment methods...
Main Authors: | Amin Burhanuddin, Siti Nur Zahrah, Mohd Deni, Sayang, Mohamed Ramli, Norazan |
---|---|
Format: | Article |
Language: | English |
Published: |
Penerbit UiTM (UiTM Press)
2016
|
Subjects: | |
Online Access: | http://ir.uitm.edu.my/id/eprint/16134/ http://ir.uitm.edu.my/id/eprint/16134/1/AJ_SITI%20NUR%20ZAHRAH%20AMIN%20BURHANUDDIN%20SRJ%2016.pdf |
Similar Items
-
Determination of the best single imputation algorithm for missing rainfall data treatment
by: Gamil Abdulraqeb Abdullah Saeed,, et al.
Published: (2016) -
Determination of the Best Single Imputation Algorithm for Missing Rainfall Data Treatment
by: Saeed, Gamil Abdulraqeb Abdullah, et al.
Published: (2016) -
Estimation of Missing Rainfall Data Using Spatial Interpolation and Imputation Methods
by: Roslinazairimah, Zakaria, et al.
Published: (2015) -
Penilaian tingkah laku taklinear menggunakan kaedah empirik / Norazan Mohamed Ramli and Habshah Midi
by: Mohamed Ramli, Norazan, et al.
Published: (2001) -
Access denied Palestinian land rights in Israel
by: Hussein Abu Hussein
Published: (2003)