daftar pustaka - repository.unimus.ac.idrepository.unimus.ac.id/1938/7/dapus.pdf · 38 daftar...

3
38 DAFTAR PUSTAKA Asmin, S. 2010. Pemodelan Nilai Unas IPA dengan Pendekatan Regresi Semiparametrik Spline di SMAN 1 Grati Pasuruan, Skripsi Institut Teknologi Sepuluh Nopember Surabaya. Budiantara, I.N., 2009, Spline dalam Regresi Nonparametrik dan Semiparametrik: Sebuah Pemodelan Statistika Masa Kini dan Masa Mendatang, JURNAL SAINS DAN SENI POMITS Vol. 3, No.1, (2014) 2337-3520 (2301-928X Print), Institut Teknologi Sepuluh November, Surabaya. Dung, V. T., & Tjahjowidodo, T. (2017). A direct method to solve optimal knots of B-spline curves: An application for non-uniform B-spline curvesfitting.PLoSOne, 12(3)doi:http://dx.doi.org/10.1371/journal.pone .0173857 Eubank, R.L. 1999, Nonparametric Regression and Spline Smoothing Second Edition, Marcel Deker, New York. Eubank, R. L. 1988. Spline Smoothing and Nonparametric Regression. New York: Marcel Dekker. inc. Fiatussholikhah, A. 2014. Model Regresi Spline Untuk Data Tinggi Gelombang Pasang Surut Di Semarang. Skripsi Jurusan Statistika Universitas Muhammadiyah Semarang. Gao, Z., He, W., Xia, H., & Liu, C. (2008). The quintic supported spline wavelets with numerical integration1. Scientia Magna, 4(4), 72-76. Retrievedfrom https://search.proquest.com/docview/220917599?accountid=25704 Hajji, M.S dan Nugroho, SBM., 2013, Analisis PDRB, Inflasi, Upah Minimum Provinsi dan Angka Melek Huruf terhadap Tingkat Pengangguran Terbuka di Provinsi Jawa Tengah tahun 1990-2011, Diponegoro Journal of Economics,Vol 2 No 3, UNDIP, Semarang. Hardle, W. 1994. Applied Nonparametric Regression. New York: Cambrige University Press. Houstis, E. N., Vavalis, E. A., & Rice, J. R. (1988). Convergence of $O(h^4 )$ cubic spline collocation methods for elliptic partial differential equations.SIAM Journal on Numerical Analysis, 25(1), 54-21. doi:http://dx.doi.org/10.1137/0725006 http://repository.unimus.ac.id

Upload: dodieu

Post on 05-May-2019

215 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: DAFTAR PUSTAKA - repository.unimus.ac.idrepository.unimus.ac.id/1938/7/DAPUS.pdf · 38 DAFTAR PUSTAKA Asmin, S. 2010. Pemodelan Nilai Unas IPA dengan Pendekatan Regresi Semiparametrik

38

DAFTAR PUSTAKA

Asmin, S. 2010. Pemodelan Nilai Unas IPA dengan Pendekatan Regresi

Semiparametrik Spline di SMAN 1 Grati Pasuruan, Skripsi Institut

Teknologi Sepuluh Nopember Surabaya.

Budiantara, I.N., 2009, Spline dalam Regresi Nonparametrik dan

Semiparametrik: Sebuah Pemodelan Statistika Masa Kini dan Masa

Mendatang, JURNAL SAINS DAN SENI POMITS Vol. 3, No.1, (2014)

2337-3520 (2301-928X Print), Institut Teknologi Sepuluh November,

Surabaya.

Dung, V. T., & Tjahjowidodo, T. (2017). A direct method to solve optimal

knots of B-spline curves: An application for non-uniform B-spline

curvesfitting.PLoSOne, 12(3)doi:http://dx.doi.org/10.1371/journal.pone

.0173857

Eubank, R.L. 1999, Nonparametric Regression and Spline Smoothing Second

Edition, Marcel Deker, New York.

Eubank, R. L. 1988. Spline Smoothing and Nonparametric Regression. New

York: Marcel Dekker. inc.

Fiatussholikhah, A. 2014. Model Regresi Spline Untuk Data Tinggi Gelombang

Pasang Surut Di Semarang. Skripsi Jurusan Statistika Universitas

Muhammadiyah Semarang.

Gao, Z., He, W., Xia, H., & Liu, C. (2008). The quintic supported spline

wavelets with numerical integration1. Scientia Magna, 4(4), 72-76.

Retrievedfrom

https://search.proquest.com/docview/220917599?accountid=25704

Hajji, M.S dan Nugroho, SBM., 2013, Analisis PDRB, Inflasi, Upah Minimum

Provinsi dan Angka Melek Huruf terhadap Tingkat Pengangguran

Terbuka di Provinsi Jawa Tengah tahun 1990-2011, Diponegoro

Journal of Economics,Vol 2 No 3, UNDIP, Semarang.

Hardle, W. 1994. Applied Nonparametric Regression. New York: Cambrige

University Press.

Houstis, E. N., Vavalis, E. A., & Rice, J. R. (1988). Convergence of $O(h^4 )$

cubic spline collocation methods for elliptic partial differential

equations.SIAM Journal on Numerical Analysis, 25(1), 54-21.

doi:http://dx.doi.org/10.1137/0725006

http://repository.unimus.ac.id

Page 2: DAFTAR PUSTAKA - repository.unimus.ac.idrepository.unimus.ac.id/1938/7/DAPUS.pdf · 38 DAFTAR PUSTAKA Asmin, S. 2010. Pemodelan Nilai Unas IPA dengan Pendekatan Regresi Semiparametrik

39

Hu, X., Han, D., & Lai, M. (2007). Bivariate splines of various degrees for

numerical solution of partial differential equations. SIAM Journal on

Scientific Computing, 29(3), 1338-17.

doi:http://dx.doi.org/10.1137/060667207.

Kang, W., Jeon, J., Yu, S., & Paik, J. (2014). Fast digital zooming system using

directionally adaptive image interpolation and

restoration. SpringerPlus, 3(1), 1-9. doi:http://dx.doi.org/10.1186/2193-

1801-3-713

Kuzelka, K., & Marusák, R. (2014). Comparison of selected splines for stem

form modeling: A case study in norway spruce. Annals of Forest

Research, 57(1), 137. Retrieved from

https://search.proquest.com/docview/1552636499?accountid=25704

Laome, L. 2009. Model Regresi Semiparametrik Spline Untuk Data

Longitudinal pada Kasus Kadar CD4 Penderita HIV. Paradigma 13 (2):

101-106.

Lestari, B., 2008. Penalized weighted leasts quares estimator for bivariate

nonparametric regression model with correlated errors. Proceeding of

the National Seminar on Mathematics and Statistics, (MS’08),

Airlangga University, Surabaya, pp: 83-95.

Markov, D. 2002. Information content in stock market technical patterns: A

spline regression approach (Order No. 3067661). Available from

ProQuest Dissertations & Theses Global: The Humanities and Social

Sciences Collection. (305578416). Retrieved from

https://search.proquest.com/docview/305578416?accountid=

Mazzia, F., Sestini, A., & Trigiante, D. (2006). B-spline linear multistep

methods and their continuous extensions. SIAM Journal on Numerical

Analysis, 44(5), 1954-20. doi:http://dx.doi.org/10.1137/040614748

Mustika C.D., dan Agustina, 2010, Analisis Tingkat Pengagangguran dan

Faktor-faktor yang Mempengaruhinya di Kota Semarang. Skripsi.

Fakultas Ekonomi, UNDIP, Semarang, Tidak dipublikasikan.

Prahutama, A., 2013. Model Regresi Nonparametrik dengan Pendekatan deret

Fourier pada Kasus Tingkat Pengangguran Terbuka di Jawa Timur,

MEDIA STATISTIKA 6 (1) 113 – 122.

Schmidt, C. O., Ittermann, T., Schulz, A., Grabe, H. J., & Baumeister, S. E.

2013. Linear, nonlinear or categorical: How to treat complex

associations? splines and nonparametric approaches. International

Journal of Public Health, 58(1), 161-165.

http://repository.unimus.ac.id

Page 3: DAFTAR PUSTAKA - repository.unimus.ac.idrepository.unimus.ac.id/1938/7/DAPUS.pdf · 38 DAFTAR PUSTAKA Asmin, S. 2010. Pemodelan Nilai Unas IPA dengan Pendekatan Regresi Semiparametrik

40

doi:http://dx.doi.org/10.1007/s00038-012-0363-z.

Seta S.U.,Suparti, dan Rita R. 2015. Pemodelan Tingkat Pengangguran Terbuka

di Jawa Tengah Menggunakan Regresi Spline, JURNAL GAUSSIAN,

Volume 4, Nomor 1, Tahun 2015, Halaman 113 – 122,

UNDIP,Semarang.

Tambunan, Tulus T.H. 2001. Transformasi Ekonomi di Indonesia. Jakarta:

Salemba Empat.

Tilling, K., Macdonald-wallis, C., Lawlor, D. A., Hughes, R. A., & Howe, L. D.

(2014). Modelling childhood growth using fractional polynomials and

linear splines. Annals of Nutrition & Metabolism, 65(2-3), 129-38.

doi:http://dx.doi.org/10.1159/000362695.

Utami, T. W., Rohman, A., Prahutama, A. 2016. Pemodelan Regresi Berganda

Dan Geographically Weighted Regression Pada Tingkat Pengangguran

Terbuka Di Jawa Tengah. MEDIA STATISTIKA 9(2) 2016: 133-147.

Utami, T. W., & Nur, I. M. 2013. Pemodelan Pasang Surut Air Laut Di Kota

Semarang Dengan Pendekatan Regresi Nonparametrik Polinomial Lokal

Kernel. Conference: Seminar Nasional Matematika dan Pendidikan

Matematika Universitas Diponegoro 2015 (SNMPM 2015), At

Diponegoro University, Semarang.

Wibowo, W., S. Haryatmi, and I N Budiantara. 2013. "Kajian Metode Estimasi

Para-meter dalam Regresi Semi-parametrik Spline."Berkala MIPA 23

(1): 102-110.

Wahba, G. 1990. Spline models for observational data. SIAM, Philadelphia, Pa.

Yani, N. W. M. N., Srinadi, I. G. A. M., & Sumarjaya, I.W. 2017.Aplikasi

Model Regresi Semiparametrik Spline Truncated (Studi Kasus: Pasien

Demam Berdarah Dengue (DBD) di Rumah Sakit Puri Raharja). E-

Jurnal Matematika Vol. 6 (1), Januari 2017, pp. 65-73 ISSN: 2303-1751

65

Zheng, H., & Little, R. J. A. (2003). Penalized spline model-based estimation of

the finite populations total from probability-proportional-to-size

samples.Journal of Official Statistics, 19(2), 99. Retrieved from

https://search.proquest.com/docview/1266794154?accountid=25704

http://repository.unimus.ac.id