Evaluating Double Resampling through Simulation and Application in Semiparametric Truncated Spline for Waste Economic Value

Kamelia Hidayat, Adji Achmad Rinaldo Fernandes, Atiek Iriany, Moh. Zhafran Hidayatulloh

Abstract


This study developed a double resampling procedure as a method for estimating standard error in truncated spline semiparametric path modeling, given that standard error cannot be obtained analytically. Primary data were collected from 100 respondents through a Likert scale questionnaire and analyzed using a path structure involving Facility and Infrastructure Quality  and Waste Bank Participation  have a significantly positive effect on 3R-Based Waste Management Practices  and the Waste Economic Value . The modeling process involved selecting knots, estimating spline functions, and evaluating double resampling performance through simulation studies. The results showed that  and  had a significant positive effect on  and , while the relationship between  and  was negative before and after the 21% threshold. The simulation study shows that the Jackknife-Bootstrap method produces lower standard errors and bias, while the Bootstrap-Jackknife method is more stable at very small sample size. These findings confirm the effectiveness of double resampling.

Keywords


Bootstrap; Double Resampling; Jackknife; Semiparametric Path Analysis; Waste Economic Value.

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References


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DOI: http://dx.doi.org/10.30829/zero.v9i3.26773

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