Crossmark

The Effectiveness of a Probabilistic Principal Component Analysis Model and Expectation Maximisation Algorithm in Treating Missing Daily Rainfall Data

Crossref DOI link: https://doi.org/10.1007/s13143-019-00135-8

Published Online: 2019-06-13

Published Print: 2020-02

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Chuan, Zun Liang http://orcid.org/0000-0002-9608-3650
Deni, Sayang Mohd

Fam, Soo-Fen

Ismail, Noriszura
Funding

Funding for this research was provided by:

Universiti Malaysia Pahang (RDU150393, RDU1703184)

Ministry of Education Malaysia (RDU190134)
License Information

Text and Data Mining valid from 2019-06-13

Version of Record valid from 2019-06-13
More Information

Article History

Received: 21 February 2019

Revised: 6 May 2019

Accepted: 24 May 2019

First Online: 13 June 2019

Change Date: 8 April 2024

Change Type: Update

Change Details: The Denotation of equation 16 has been corrected.

Change Date: 27 March 2024

Change Type: Correction

Change Details: A Correction to this paper has been published:

Change Details: https://doi.org/10.1007/s13143-024-00363-7

Updates are available Correction dated 2024-03-27

Click to view Correction: https://doi.org/10.1007/s13143-024-00363-7