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NI PUTU AYU MIRAH MARIATI
Universitas Mahasaraswati Denpasar
Humanities Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Journal : Jurnal Ilmiah Ilmu Terapan Universitas Jambi

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ESTIMATOR AND APPLIED MIXED KERNEL AND FOURIER SERIES MODELLING IN NONPARAMETRIC REGRESSION Sudiarsa, I Wayan; Mariati, Ni Putu Ayu Mirah; Sanjiwani, Ni Made Sukma
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 8 No. 2 (2024): Volume 8, Nomor 2, December 2024
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v8i2.36246

Abstract

There are three nonparametric regression approaches, namely parametric, nonparametric, and semiparametric regression. Nonparametric regression allows the response variable to follow a different curve from one predictor variable to another. In paired data, the components of the predictor variables and response variables are assumed to follow unknown data patterns, so they can be approached with kernel-based regression models and Fourier series. The basic components are approached with kernel functions and Fourier series functions. Errors are assumed to be normally distributed with zero mean and constant variance. The originality of this research is to obtain a mixed kernel and Fourier series model estimator and then apply it to poverty data in Bali Province. The research stage method begins with a nonparametric regression model estimator based on kernel and Fourier series. The next step is to research the regression curve estimation and obtain lemmas and theorems. The results of the function estimation are highly dependent on the bandwidth, smoothing, and oscillation parameters. In the application to the case of real data, the resulting model gives an R2 value of 0.6278, meaning that the variables used can explain the model by 62.78 percent. From the modeling results obtained, the Open Unemployment Rate has a positive effect on the percentage of poor people in Bali.
Co-Authors AA Sudharmawan, AA Agung Ari Chandra Wibawa Dinata, Dewa Putu Gede Angga Gusti Ayu Made Arna Putri GUSTI AYU MADE ARNA PUTRI Gusti Ngurah Odik Pratama I Gede Cahyadi Putra I Kadek Agus Wirayuda I Ketut Suwija I Made Dedy Ariawan I Made Kesumayasa I WAYAN SUDIARSA I Wayan Sudiarsa I Wayan Sudiarsa Kadek Indah Kusuma Dewi Kadek Selpiana Dewi Komang Tri Wahyuni Laksmi, Ni Nyoman Ari Luh Pande Eka Setiawati Megawati, Fitria Ni Kadek Elis Pitriani Ni Luh Putu Sandrya Dewi Ni Luh Putu Suciptawati Ni Made Novita Artha Ni Made Sukma Sanjiwani Ni Putu Sri Dewi Eka Pujiani Ni Wayan Trisna Dewi P Purwanto Paramitha, Dewa Ayu Ika Pradnyandari, I Gusti Ayu Agung Ratih Pramana, I Made Wisnu Yoga Putri, Gusti Ayu Made Arna Putu Angga Permana Putra Putu Diah Kumalasari Putu Gede Arya Nugraha Rahadi, I Wayan Surya Sanjiwani, Ni Made Sukma Setiawati, Luh Pande Eka Setya Cahyani, I Gusti Ayu Agung Dwita Tristalina, Ni Luh Devi Vinanda, Ketut Adelia Wirya, Komang Ayu Siva Santhi