Identifying the Ideal Number Q-Components of the Bayesian Principal Component Analysis Model for Missing Daily Precipitation Data Treatment

• Main Authors: Chuan, Zun Liang, Azlyna, Senawi, Wan Nur Syahidah, Wan Yusoff, Noriszura, Ismail, Tan, Lit Ken, Mu, Wen Chuan
• Format: Article
• Language: English
• Published: Science Publishing Corporation 2018
• Subjects: QA Mathematics
• Online Access: http://umpir.ump.edu.my/id/eprint/23012/1/The%20Format%20of%20the%20IJOPCM%2C%20first%20submission.pdf; http://umpir.ump.edu.my/id/eprint/23012/; https://www.sciencepubco.com/index.php/ijet/article/view/21992

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...