ANALYSIS OF PATH NONPARAMETRIC TRUNCATED SPLINE MAXIMUM CUBIC ORDER IN BANKING CREDIT OF RISK BEHAVIOR MODEL
Path analysis tests the relationship between variables through cause and effect. The assumption of linearity must be met before conducting further tests on path analysis. If the shape of the relationship is nonlinear and the shape of the curve is unknown, a nonparametric approach is used, one of whi...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universitas Pattimura
2024-10-01
|
| Series: | Barekeng |
| Subjects: | |
| Online Access: | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/13368 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849770478859714560 |
|---|---|
| author | Devi Veda Amanda Atiek Iriany Adji Achmad Rinaldo Fernandes Solimun Solimun |
| author_facet | Devi Veda Amanda Atiek Iriany Adji Achmad Rinaldo Fernandes Solimun Solimun |
| author_sort | Devi Veda Amanda |
| collection | DOAJ |
| description | Path analysis tests the relationship between variables through cause and effect. The assumption of linearity must be met before conducting further tests on path analysis. If the shape of the relationship is nonlinear and the shape of the curve is unknown, a nonparametric approach is used, one of which is a truncated spline. The purpose of this study is to estimate the function and obtain the best model on the nonparametric truncated spline path of linear, quadratic, and cubic orders with 1 and 2-knot points and determine the significance of the best function estimator in banking credit of risk behavior model through the jackknife resampling method. This study uses secondary data through questionnaires to KPR debtor consumers, as many as 100 respondents. Based on the results of the analysis, it is known that the best-truncated spline nonparametric path model is the quadratic order of 2 knots with a coefficient of determination of 85.50%; the significance of the best-truncated spline nonparametric path estimator shows that all exogenous variables have a significant effect on endogenous variables. |
| format | Article |
| id | doaj-art-327ba90c1b014045bed0c8fcfe44912e |
| institution | DOAJ |
| issn | 1978-7227 2615-3017 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | Universitas Pattimura |
| record_format | Article |
| series | Barekeng |
| spelling | doaj-art-327ba90c1b014045bed0c8fcfe44912e2025-08-20T03:02:59ZengUniversitas PattimuraBarekeng1978-72272615-30172024-10-011842639265210.30598/barekengvol18iss4pp2639-265213368ANALYSIS OF PATH NONPARAMETRIC TRUNCATED SPLINE MAXIMUM CUBIC ORDER IN BANKING CREDIT OF RISK BEHAVIOR MODELDevi Veda Amanda0Atiek Iriany1Adji Achmad Rinaldo Fernandes2Solimun Solimun3Department of Statistics, Faculty of Mathematics & Natural Sciences, Universitas Brawijaya, IndonesiaDepartment of Statistics, Faculty of Mathematics & Natural Sciences, Universitas Brawijaya, IndonesiaDepartment of Statistics, Faculty of Mathematics & Natural Sciences, Universitas Brawijaya, IndonesiaDepartment of Statistics, Faculty of Mathematics & Natural Sciences, Universitas Brawijaya, IndonesiaPath analysis tests the relationship between variables through cause and effect. The assumption of linearity must be met before conducting further tests on path analysis. If the shape of the relationship is nonlinear and the shape of the curve is unknown, a nonparametric approach is used, one of which is a truncated spline. The purpose of this study is to estimate the function and obtain the best model on the nonparametric truncated spline path of linear, quadratic, and cubic orders with 1 and 2-knot points and determine the significance of the best function estimator in banking credit of risk behavior model through the jackknife resampling method. This study uses secondary data through questionnaires to KPR debtor consumers, as many as 100 respondents. Based on the results of the analysis, it is known that the best-truncated spline nonparametric path model is the quadratic order of 2 knots with a coefficient of determination of 85.50%; the significance of the best-truncated spline nonparametric path estimator shows that all exogenous variables have a significant effect on endogenous variables.https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/13368jackknifekpr debtor consumernonparametric path analysisresamplingtruncated spline |
| spellingShingle | Devi Veda Amanda Atiek Iriany Adji Achmad Rinaldo Fernandes Solimun Solimun ANALYSIS OF PATH NONPARAMETRIC TRUNCATED SPLINE MAXIMUM CUBIC ORDER IN BANKING CREDIT OF RISK BEHAVIOR MODEL Barekeng jackknife kpr debtor consumer nonparametric path analysis resampling truncated spline |
| title | ANALYSIS OF PATH NONPARAMETRIC TRUNCATED SPLINE MAXIMUM CUBIC ORDER IN BANKING CREDIT OF RISK BEHAVIOR MODEL |
| title_full | ANALYSIS OF PATH NONPARAMETRIC TRUNCATED SPLINE MAXIMUM CUBIC ORDER IN BANKING CREDIT OF RISK BEHAVIOR MODEL |
| title_fullStr | ANALYSIS OF PATH NONPARAMETRIC TRUNCATED SPLINE MAXIMUM CUBIC ORDER IN BANKING CREDIT OF RISK BEHAVIOR MODEL |
| title_full_unstemmed | ANALYSIS OF PATH NONPARAMETRIC TRUNCATED SPLINE MAXIMUM CUBIC ORDER IN BANKING CREDIT OF RISK BEHAVIOR MODEL |
| title_short | ANALYSIS OF PATH NONPARAMETRIC TRUNCATED SPLINE MAXIMUM CUBIC ORDER IN BANKING CREDIT OF RISK BEHAVIOR MODEL |
| title_sort | analysis of path nonparametric truncated spline maximum cubic order in banking credit of risk behavior model |
| topic | jackknife kpr debtor consumer nonparametric path analysis resampling truncated spline |
| url | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/13368 |
| work_keys_str_mv | AT devivedaamanda analysisofpathnonparametrictruncatedsplinemaximumcubicorderinbankingcreditofriskbehaviormodel AT atiekiriany analysisofpathnonparametrictruncatedsplinemaximumcubicorderinbankingcreditofriskbehaviormodel AT adjiachmadrinaldofernandes analysisofpathnonparametrictruncatedsplinemaximumcubicorderinbankingcreditofriskbehaviormodel AT solimunsolimun analysisofpathnonparametrictruncatedsplinemaximumcubicorderinbankingcreditofriskbehaviormodel |