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...
Enregistré dans:
Auteurs principaux: | Amin Burhanuddin, Siti Nur Zahrah (Auteur), Mohd Deni, Sayang (Auteur), Mohamed Ramli, Norazan (Auteur) |
---|---|
Format: | Livre |
Publié: |
Penerbit UiTM (UiTM Press),
2016.
|
Sujets: | |
Accès en ligne: | Link Metadata |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Penilaian tingkah laku taklinear menggunakan kaedah empirik / Norazan Mohamed Ramli and Habshah Midi
par: Mohamed Ramli, Norazan, et autres
Publié: (2001) -
Assessing multicollinearity via identification of high leverage points in financial accounting data / Norazan Mohamed Ramli ... [et al.]
par: Mohamed Ramli, Norazan, et autres
Publié: (2010) -
Unusual Administrator / Dr. Zahrah Mokhtar
par: Mokhtar, Zahrah
Publié: (2010) -
The enterprising career and performances: Dr. Zahrah Mokhtar
par: Mokhtar, Zahrah
Publié: (2010) -
Webinar Kemerdekaan: Merdeka@Muzium 2021 / Anis Burhanuddin
par: Burhanuddin, Anis
Publié: (2021)