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All Journal International Journal of Evaluation and Research in Education (IJERE) EKSAKTA: Journal of Sciences and Data Analysis TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Informatika Jurnal Karya Pendidikan Matematika International Journal of Advances in Intelligent Informatics AdMathEduSt: Jurnal Ilmiah Mahasiswa Pendidikan Matematika AKSIOMA Jurnal Penelitian Pendidikan IPA (JPPIPA) CARADDE: Jurnal Pengabdian Kepada Masyarakat JKPM (Jurnal Kajian Pendidikan Matematika) Indonesian Journal on Learning and Advanced Education (IJOLAE) JURNAL INOVASI PENDIDIKAN MATEMATIKA (JIPM) JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi) Prosiding Seminar Nasional Program Pengabdian Masyarakat JNPM (Jurnal Nasional Pendidikan Matematika)
Suparman
Universitas Ahmad Dahlan
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Physics Social Sciences

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Journal : International Journal of Advances in Intelligent Informatics

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Bootstrap-based model selection in subset polynomial regression Suparman Suparman; Mohd Saifullah Rusiman
International Journal of Advances in Intelligent Informatics Vol 4, No 2 (2018): July 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v4i2.173

Abstract

The subset polynomial regression model is wider than the polynomial regression model. This study proposes an estimate of the parameters of the subset polynomial regression model with unknown error and distribution. The Bootstrap method is used to estimate the parameters of the subset polynomial regression model. Simulated data is used to test the performance of the Bootstrap method. The test results show that the bootstrap method can estimate well the parameters of the subset polynomial regression model.
Co-Authors Agus Purnama Ahmad Rizal Saqibul Fiqri Ami Ramadayanti Andri Pranolo Anggit Prabowo Annisa Eka Haryati Annisa Sulistyaningsih Apriliani Fitriya Damayanti Arif Darmawan Asroni Asroni Azzahrotul Jannah Bidayatun Nafi’ah Bunga Putri Syafina Cahya Damarjati Caraka Kresna Chairil Hikayat Chong Su Li Dahlia Janan Desi Kusuma Wardani Desi Rubiyanti Desty Emi Markahamah Devi Bima Arditama Diah Pramusinta Dinda Genius Anggun Maretha Diyah Istriani Dwi Lestari Eko Budi Isnanto Ellya Rakhmawati Endang Mulyani Epa Wira Darmawan Eti Rahayuningsih Eva Yuniarti Utami Fathurrahman, Muhammad Fernanda Amalia Putri Fifi Ninawati Habibi Habibi Hafidina Nur Fi Rahman Haristha Rachmawati Hujjatul Muslimah Ika Putri Astriyana Sari Imam Muhajir Setiawan Iryana Setyaningrum Isnaepi Isnaepi Kahar, Muhammad Syahrul Kirana Dwi Priharini Laila Rahmawati Lina Anggraeni Lusiana Pratiwi Marfilinda Atma Sari Subekti Michel Doisy Mohd Saifullah Rusiman Muhammad Ali Muhammad Muliya Al-amien Nita Novianti Nunung Azizah Nur Hasanah Nurlita Widoarti Okta Wibowo Pupus Winandari Putri Wulandari Queen Veronica Frieda Laurencia Rinda Hidayanti Riska Zunanto Rizky Fadillah Rofikoh Khasanah Sagita Dyah Putranti Salamatun Asakdiyah Salsabila, Unik Hanifah Sarwo Eddy Wibowo Seldy Derudinansyah Sindi Kurniawati Siregar, Ummu Habibah Siska Audhina Kusumaningtyas Slamet Riyadi Suci Annisa Sugiyarto Surono Surasmanto Surasmanto Suswandari Syaiful Rochmat Tri Dessy Damayanti Vica Windhi Seputri Wahyu Andriyani Yoga Dwi Kurniawan Yolan Nur Vitasari Yuliani Damayanti Zaini Fauzi Zunan Setiawan