@article{MAKHILLJEAS201813916063,
    title = {Rational Cubic Spline Interpolation for Missing Solar Data Imputation},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {13},
    number = {9},
    pages = {2587-2592},
    year = {2018},
    issn = {1816-949x},
    doi = {jeasci.2018.2587.2592},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2018.2587.2592},
    author = {Samsul,Mohd,Mahmod,Mohd,Mohammad and},
    keywords = {Missing data,imputation,rational cubic Ball,solar radiation,regression model,quadratic},
    abstract = {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.}
    }