eprintid: 10821
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/08/21
datestamp: 2023-11-09 16:37:26
lastmod: 2023-11-09 16:37:26
status_changed: 2023-11-09 16:32:16
type: article
metadata_visibility: show
creators_name: Karim, S.A.A.
creators_name: Ismail, M.T.
creators_name: Othman, M.
creators_name: Abdullah, M.F.
creators_name: Hasan, M.K.
creators_name: Sulaiman, J.
title: Rational cubic spline interpolation for missing solar data imputation
ispublished: pub
note: cited By 4
abstract: Missing data imputation is an important task in statistical and sciences dscipline. Solar radation data obtained from the solar tracker does not complete and some data are missing due to human error in handling the instrument or the failure of the imtnunent. Thus, missing data imputation can be used to predict and estimate the unknownvalue of the solar radation at cemin time. This study will estimate the solar radation by using rational cubic Ball spline function with three parameters. The interpolating rational Ball spline is able to give good result based on quadratic regression model. © 2018, Medwell Journals.
date: 2018
publisher: Medwell Journals
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049525894&doi=10.3923%2fjeasci.2018.2587.2592&partnerID=40&md5=3f9a11c9e67b12539443f07e008215ed
id_number: 10.3923/jeasci.2018.2587.2592
full_text_status: none
publication: Journal of Engineering and Applied Sciences
volume: 13
number: 9
pagerange: 2587-2592
refereed: TRUE
issn: 1816949X
citation:   Karim, S.A.A. and Ismail, M.T. and Othman, M. and Abdullah, M.F. and Hasan, M.K. and Sulaiman, J.  (2018) Rational cubic spline interpolation for missing solar data imputation.  Journal of Engineering and Applied Sciences, 13 (9).  pp. 2587-2592.  ISSN 1816949X