@inproceedings{402c508084cb434aa6f151691ef6029a,
title = "Partial hypothesis testing of truncated spline model in nonparametric regression",
abstract = "Nonparametric regression is a method used to analyze the relation between response variables and predictor variables that do not follow a particular pattern. One common approach used in nonparametric regression is truncated spline, because of its high flexibility and good visual interpretation. The study of partial hypothesis testing in nonparametric regression is important in statistical inference. The likelihood ratio test will be used in order to define the test statistic. Theoretical study resulted in a the statistical test for partial hypothesis testing, denoted by Q and following Student's t-distribution with (n-(1+(m+r)h) degrees of freedom.",
keywords = "Nonparametric, regression, variable",
author = "Husni, {Imra Atil} and Budiantara, {I. Nyoman} and Ismaini Zain",
note = "Publisher Copyright: {\textcopyright} 2018 Author(s).; 8th Annual Basic Science International Conference: Coverage of Basic Sciences toward the World's Sustainability Challanges, BaSIC 2018 ; Conference date: 06-03-2018 Through 07-03-2018",
year = "2018",
month = oct,
day = "17",
doi = "10.1063/1.5062798",
language = "English",
series = "AIP Conference Proceedings",
publisher = "American Institute of Physics Inc.",
editor = "Corina Karim and Rodliyati Azrianingsih and Pamungkas, {Mauludi Ariesto} and Jatmiko, {Yoga Dwi} and Anna Safitri",
booktitle = "8th Annual Basic Science International Conference",
}