Estimation of Truncated Spline Function in Non-parametric Path Analysis Based on Weighted Least Square (WLS)

9th Annual Basic Science International Conference 2019

自然科学（总论）

Hidayat, Muhamad Fariq^1 ; Adji Achmad, Rinaldo F.^1 ; Solimun^1

Statistic Department, Faculty of Natural Sciences, University of Brawijaya, Indonesia^1

关键词: Generalized cross validation;    Multiresponse;    Non-parametric;    Nonparametric approaches;    Parametric method;    Polynomial degree;    Spline functions;    Weighted least squares;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/546/5/052027/pdf
DOI  :  10.1088/1757-899X/546/5/052027

学科分类：自然科学（综合）

来源: IOP

【 摘 要 】

The purpose of this research is to identify a particular relationship pattern among predictors and response variables where the response variables are multi-response and correlated. Path analysis is one of the appropriate statistical parametric method to estimate the parameter when the curves are known, but in fact the curves is unknown. Nonparametric approach is a suitable method to estimate the unknown curve in Path Analysis. Truncated spline provides a powerful tool for estimating curve in non-parametric path model with the optimal knots will be estimated by using Generalized Cross Validation. Truncated spline estimator is obtained from Weighted Least Square (WLS) technique that depends on polynomial degree and knot.