Identifying the Ideal Number Q-Components of the Bayesian Principal Component Analysis Model for Missing Daily Precipitation Data Treatment
The grassroots of the presence of missing precipitation data are due to the malfunction of instruments, error of recording and meteorological extremes. Consequently, an effective imputation algorithm is indeed much needed to provide a high quality complete time series in assessing the risk of occurr...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Science Publishing Corporation
2018
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/23012/ http://umpir.ump.edu.my/id/eprint/23012/ http://umpir.ump.edu.my/id/eprint/23012/ http://umpir.ump.edu.my/id/eprint/23012/1/The%20Format%20of%20the%20IJOPCM%2C%20first%20submission.pdf |