Nonparametric Smoothing Spline Approach in Examining Investor Interest Factors
The nonparametric approach is an appropriate approach for patterns of relationships between predictor variables and response variables that are not or have not been known in form. In other words, there is no complete information about the pattern of relationships between variables. Curve estimation...
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Universitas Muhammadiyah Mataram
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Online Access: | http://ir.unimas.my/id/eprint/45758/1/Nonparametric%20Smoothing%20Spline.pdf http://ir.unimas.my/id/eprint/45758/ https://journal.ummat.ac.id/index.php/jtam/article/view/20192 https://doi.org/10.31764/jtam.v8i2.20192 |
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my.unimas.ir.457582024-08-22T05:48:24Z http://ir.unimas.my/id/eprint/45758/ Nonparametric Smoothing Spline Approach in Examining Investor Interest Factors Yossy Maynaldi, Pratama Adji Achmad Rinaldo, Fernandes Ni Wayan, Surya Wardhani Rosita, Hamdan HB Economic Theory The nonparametric approach is an appropriate approach for patterns of relationships between predictor variables and response variables that are not or have not been known in form. In other words, there is no complete information about the pattern of relationships between variables. Curve estimation is determined based on relationship patterns in existing data. The nonparametric approach has great flexibility for estimating regression curves. This study aims to form a model on investor interest factors in improving tourism investment decisions with a nonparametric approach. The nonparametric method used is the smoothing spline regression method. The smoothing spline method is used because the modeling results from the smoothing spline approach can follow the relationship model between variables contained in the data. Thus, this method really helps researchers to model relationships between variables that are not linear and whose linear form is unknown. The results of the analysis showed that the nonparametric smoothing spline regression analysis method could model data by 94.63%, indicates that data variance can be explained by 94.63% with models, while other variance outside the study explain the remaining 5.37%. That is, investment motivation is one of the most important factors to improve investment decisions. Universitas Muhammadiyah Mataram 2024 Article PeerReviewed text en http://ir.unimas.my/id/eprint/45758/1/Nonparametric%20Smoothing%20Spline.pdf Yossy Maynaldi, Pratama and Adji Achmad Rinaldo, Fernandes and Ni Wayan, Surya Wardhani and Rosita, Hamdan (2024) Nonparametric Smoothing Spline Approach in Examining Investor Interest Factors. JTAM (Jurnal Teori dan Aplikasi Matematika), 8 (2). pp. 425-440. ISSN 2614-1175 https://journal.ummat.ac.id/index.php/jtam/article/view/20192 https://doi.org/10.31764/jtam.v8i2.20192 |
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HB Economic Theory Yossy Maynaldi, Pratama Adji Achmad Rinaldo, Fernandes Ni Wayan, Surya Wardhani Rosita, Hamdan Nonparametric Smoothing Spline Approach in Examining Investor Interest Factors |
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The nonparametric approach is an appropriate approach for patterns of relationships between predictor variables and response variables that are not or have not been known in form. In other words, there is no complete information
about the pattern of relationships between variables. Curve estimation is determined based on relationship patterns in existing data. The nonparametric approach has great flexibility for estimating regression curves. This study aims to form a model on investor interest factors in improving tourism investment decisions with a nonparametric approach. The nonparametric method used is the smoothing spline regression method. The smoothing spline method is used because the modeling results from the smoothing spline approach can follow the relationship model between variables contained in the data. Thus, this method really helps researchers to model relationships between variables that are not linear and whose linear form is unknown. The results of the analysis showed that the nonparametric smoothing spline regression analysis method could model data
by 94.63%, indicates that data variance can be explained by 94.63% with models, while other variance outside the study explain the remaining 5.37%. That is, investment motivation is one of the most important factors to improve investment
decisions. |
format |
Article |
author |
Yossy Maynaldi, Pratama Adji Achmad Rinaldo, Fernandes Ni Wayan, Surya Wardhani Rosita, Hamdan |
author_facet |
Yossy Maynaldi, Pratama Adji Achmad Rinaldo, Fernandes Ni Wayan, Surya Wardhani Rosita, Hamdan |
author_sort |
Yossy Maynaldi, Pratama |
title |
Nonparametric Smoothing Spline Approach in Examining
Investor Interest Factors |
title_short |
Nonparametric Smoothing Spline Approach in Examining
Investor Interest Factors |
title_full |
Nonparametric Smoothing Spline Approach in Examining
Investor Interest Factors |
title_fullStr |
Nonparametric Smoothing Spline Approach in Examining
Investor Interest Factors |
title_full_unstemmed |
Nonparametric Smoothing Spline Approach in Examining
Investor Interest Factors |
title_sort |
nonparametric smoothing spline approach in examining
investor interest factors |
publisher |
Universitas Muhammadiyah Mataram |
publishDate |
2024 |
url |
http://ir.unimas.my/id/eprint/45758/1/Nonparametric%20Smoothing%20Spline.pdf http://ir.unimas.my/id/eprint/45758/ https://journal.ummat.ac.id/index.php/jtam/article/view/20192 https://doi.org/10.31764/jtam.v8i2.20192 |
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1808981516242386944 |
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13.19449 |