The estimation on missing daily rainfall data at Machang and Ampang station using generalized linear model / Nurul Aishah Rahman
A complete rainfall data plays an important role in climatological, hydrological and meteorological studies. However, the rainfall data is not always available due to several reasons such as malfunction of the instrument and power failure in recording the rainfall data. The presence of missing data...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
2019
|
| Online Access: | https://ir.uitm.edu.my/id/eprint/87284/1/87284.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
my-uitm-ir.87284 |
|---|---|
| record_format |
uketd_dc |
| spelling |
my-uitm-ir.872842024-07-11T07:29:53Z The estimation on missing daily rainfall data at Machang and Ampang station using generalized linear model / Nurul Aishah Rahman 2019 Rahman, Nurul Aishah A complete rainfall data plays an important role in climatological, hydrological and meteorological studies. However, the rainfall data is not always available due to several reasons such as malfunction of the instrument and power failure in recording the rainfall data. The presence of missing data could affect the continuity and consistency of the rainfall data. Thus, this study aims to estimate the missing daily rainfall data using the existing selected imputation methods, simple arithmetic average, normal ratio method, inverse distance weighting method, correlation coefficient weighting method and geographical coordinate. 2019 Thesis https://ir.uitm.edu.my/id/eprint/87284/ https://ir.uitm.edu.my/id/eprint/87284/1/87284.pdf text en public masters Universiti Teknologi MARA (UiTM) Faculty of Computer and Mathematical Sciences Mohd Deni, Sayang |
| institution |
Universiti Teknologi MARA |
| collection |
UiTM Institutional Repository |
| language |
English |
| advisor |
Mohd Deni, Sayang |
| description |
A complete rainfall data plays an important role in climatological, hydrological and meteorological studies. However, the rainfall data is not always available due to several reasons such as malfunction of the instrument and power failure in recording the rainfall data. The presence of missing data could affect the continuity and consistency of the rainfall data. Thus, this study aims to estimate the missing daily rainfall data using the existing selected imputation methods, simple arithmetic average, normal ratio method, inverse distance weighting method, correlation coefficient weighting method and geographical coordinate. |
| format |
Thesis |
| qualification_level |
Master's degree |
| author |
Rahman, Nurul Aishah |
| spellingShingle |
Rahman, Nurul Aishah The estimation on missing daily rainfall data at Machang and Ampang station using generalized linear model / Nurul Aishah Rahman |
| author_facet |
Rahman, Nurul Aishah |
| author_sort |
Rahman, Nurul Aishah |
| title |
The estimation on missing daily rainfall data at Machang and Ampang station using generalized linear model / Nurul Aishah Rahman |
| title_short |
The estimation on missing daily rainfall data at Machang and Ampang station using generalized linear model / Nurul Aishah Rahman |
| title_full |
The estimation on missing daily rainfall data at Machang and Ampang station using generalized linear model / Nurul Aishah Rahman |
| title_fullStr |
The estimation on missing daily rainfall data at Machang and Ampang station using generalized linear model / Nurul Aishah Rahman |
| title_full_unstemmed |
The estimation on missing daily rainfall data at Machang and Ampang station using generalized linear model / Nurul Aishah Rahman |
| title_sort |
estimation on missing daily rainfall data at machang and ampang station using generalized linear model / nurul aishah rahman |
| granting_institution |
Universiti Teknologi MARA (UiTM) |
| granting_department |
Faculty of Computer and Mathematical Sciences |
| publishDate |
2019 |
| url |
https://ir.uitm.edu.my/id/eprint/87284/1/87284.pdf |
| _version_ |
1804889785801637888 |