TY  - JOUR
T1  - Rational Cubic Spline Interpolation for Missing Solar Data Imputation
AU - Ariffin Abdul Karim, Samsul AU - Tahir Ismail, Mohd AU - Othman, Mahmod AU - Faris Abdullah, Mohd AU - Khatim Hasan, Mohammad AU - Sulaiman, Jumat 
JO  - Journal of Engineering and Applied Sciences
VL  - 13
IS  - 9
SP  - 2587
EP  - 2592
PY  - 2018
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2018.2587.2592
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2018.2587.2592
KW  - Missing data
KW  -imputation
KW  -rational cubic Ball
KW  -solar radiation
KW  -regression model
KW  -quadratic
AB  - Missing data imputation is an important task in statistical and sciences discipline. Solar radiation 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 instrument. Thus, missing data imputation can be used to predict and
estimate the unknown value of the solar radiation at certain time. This study will estimate the solar radiation 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.
ER  -