skip to main content

MODELING EAST JAVA INDONESIA LIFE EXPECTANCY USING SEMIPARAMETRIC REGRESSION MIXED SPLINE TRUNCATED AND FOURIER SERIES

*Khaerun Nisa'  -  Balai Penelitian dan Pengembangan Agama Makassar (BLAM), Indonesia
I Nyoman Budiantara  -  Institut Teknologi Sepuluh Nopember, Indonesia
Open Access Copyright (c) 2020 MEDIA STATISTIKA under http://creativecommons.org/licenses/by-nc-sa/4.0.

Citation Format:
Abstract
Life expectancy is one of the indicators used to evaluate the government’s performance in improving the well-being of the population. High life expectancy in an area indicates that people in the area have been assured of health and poverty has been well overcome, and vice versa. Based on national socioeconomic survey (SUSENAS) data, showing life expectancy in East Java Province from 2009 to 2013 increased by 69.15 years to 70,19 years. Although overall life expectancy in East Java province has increased, there are still some areas that have life expectancy below 65 years. This is not from the different characteristics of each religion. Therefore, the main purpose of this study is to model life expectancy in East Java using semiparametric regression with a mixed estimator of Spline Truncated and Fourier Series.  Based on the research that has been done, the results that modeling the data of life expectancy using mixed estimator of Spline Truncated and Fourier Series produced a value of R2 of 99,62% which means that the predictor variables are able to explain the response variabel life expectancy of 99.62%.

Note: This article has supplementary file(s).

Fulltext View|Download |  Research Instrument
PEMODELAN ANGKA HARAPAN HIDUP JAWA TIMUR (INDONESIA) MENGGUNAKAN REGRESI SEMIPARAMETRIK CAMPURAN SPLINE TRUNCATED DAN DERET FOURIER
Subject Angka Harapan Hidup, Regresi Semiparametrik, Estimator Campuran, Spline Truncated, Deret Fourier .
Type Research Instrument
  Download (305KB)    Indexing metadata
Keywords: Life Expectancy, Semiparametric Regression, Mixed Estimator, Spline Truncated, Fourier Series

Article Metrics:

  1. Asrini, L. J., & Budiantara, I. N. (2014). Fourier Series Semiparametric Regression Models (Case study: The Production of Lowland Rice Irrigation in Central Java). ARPN Journal of Engineering and Applied Sciences, 9(9), 1501–1506
  2. Budiantara, I. N., Ratnasari, V., Ratna, M., & Zain, I. (2015). The Combination of Spline and Kernel Estimator for Nonparametric Regression and its Properties. Applied Mathematical Sciences, 9(122), 6083–6094. https://doi.org/10.12988/ ams.2015.58517
  3. Cleries, R., Martínez, J. M., Valls, J., Pareja, L., Esteban, L., Gispert, R., … Borràs, J. M. (2009). Life Expectancy and Age-Period-Cohort Effects: Analysis and Projections of Mortality in Spain Between 1977 and 2016. Public Health, 123(2), 156–162. https://doi.org/10.1016/j.puhe.2008.10.026
  4. Ellis, D. M., Draper, N. P., & Smith, H. (1968). Applied Regression Analysis. Applied Statistics, 17(1), 83. https://doi.org/10.2307/2985274
  5. Faraway, J. J. (2007). Extending the Linear Model With R: Generalized Linear, Mixed Effects and Nonparametric Regression Models. Journal of the American Statistical Association, 102, 1477–1477
  6. Fox, J., & Weisberg, S. (2011). Appendix - Nonparametric Regression in R. In An R Companion to Applied Regression (pp. 1–17)
  7. Halicioglu, F. (2011). Modeling Life Expectancy in Turkey. Economic Modelling, 28(5), 2075–2082. https://doi.org/10.1016/j.econmod.2011.05.002
  8. Nisa, K., Budiantara, I. N., & Rumiati, A. T. (2016). Modeling Multivariable Semiparametric Regression using Combined Estimators of Fourier Series and Truncated Spline. In IPTEK Journal of Proceedings Series
  9. Nisa, K., Budiantara, I. N., & Rumiati, A. T. (2017). Multivariable Semiparametric Regression Model with Combined Estimator of Fourier Series and Kernel. In IOP Conference Series: Earth and Environmental Science (Vol. 58). https://doi.org/10.1088/1755-1315/58/1/012028
  10. Pane, R., Nyoman Budiantara, I., Zain, I., & Otok, B. W. (2014). Parametric and Nonparametric Estimators in Fourier Series Semiparametric Regression and Their Characteristics. Applied Mathematical Sciences, 8(101–104), 5053–5064. https://doi.org/10.12988/ams.2014.46472
  11. Rismal, Budiantara, I. N., & Prastyo, D. D. (2016). Mixture Model of Spline Truncated and Kernel in Multivariable Nonparametric Regression. In AIP Conference Proceedings (Vol. 1739). https://doi.org/10.1063/1.4952565
  12. Rosenblad, A. (2009). J.J. Faraway: Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models. Computational Statistics, 24(2), 369–370. https://doi.org/10.1007/s00180-009-0152-1
  13. Sugiantari. (2013). Analisis Faktor-Faktor yang Mempengaruhi Angka Harapan Hidup di Jawa Timur Menggunakan Regresi Semiparametrik Spline. Jurnal Sains Dan Seni Pomits, 2(1), D37–D41
  14. Wayan Sudiarsa, I., Nyoman Budiantara, I., Suhartono, S., & Purnami, S. W. (2015). Combined Estimator Fourier Series and Spline Truncated in Multivariable Nonparametric Regression. Applied Mathematical Sciences, 9(97–100), 4997–5010. https://doi.org/10.12988/ams.2015.55394
  15. Wibowo, W., Haryatmi, S., & Budiantara, I. N. (2013). Modeling of Regional Banking Activities using Spline Multiresponse Semiparametric Regression. International Journal of Applied Mathematics and Statistics, 44(14), 391–398

Last update:

  1. Modeling and simultaneous hypothesis testing in nonparametric regression with mixture model of kernel and Fourier series

    Andy Rezky Pratama Syam, Vita Ratnasari, I. Nyoman Budiantara. THE 3RD INTERNATIONAL CONFERENCE ON SCIENCE, MATHEMATICS, ENVIRONMENT, AND EDUCATION: Flexibility in Research and Innovation on Science, Mathematics, Environment, and education for sustainable development, 2540 , 2023. doi: 10.1063/5.0111234
  2. Parameter estimation of spline truncated, kernel, and Fourier series mixed estimators in semiparametric regression

    Ardiana Fatma Dewi, I. Nyoman Budiantara, Vita Ratnasari. THE 3RD INTERNATIONAL CONFERENCE ON SCIENCE, MATHEMATICS, ENVIRONMENT, AND EDUCATION: Flexibility in Research and Innovation on Science, Mathematics, Environment, and education for sustainable development, 2540 , 2023. doi: 10.1063/5.0106031
  3. Pemodelan Angka Harapan Hidup Sumatera Utara Menggunakan Regresi Semi parametrik Spline

    Melati Puspita Sari Lubis Melati, Rina Widyasari, Rima Aprilia. Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika, 7 (1), 2024. doi: 10.30605/proximal.v7i1.3350
  4. Mixed spline truncated, kernel, and Fourier series estimator in biresponse nonparametric regression

    Patrica Pungky Gabrela, Jerry Dwi Trijoyo Purnomo, I. Nyoman Budiantara. THE 3RD INTERNATIONAL CONFERENCE ON SCIENCE, MATHEMATICS, ENVIRONMENT, AND EDUCATION: Flexibility in Research and Innovation on Science, Mathematics, Environment, and education for sustainable development, 2540 , 2023. doi: 10.1063/5.0105823
  5. ESTIMATION OF SEMIPARAMETRIC REGRESSION CURVE WITH MIXED ESTIMATOR OF MULTIVARIABLE LINEAR TRUNCATED SPLINE AND MULTIVARIABLE KERNEL

    Hesikumalasari Hesikumalasari, I Nyoman Budiantara, Vita Ratnasari, Khaerun Nisa'. MEDIA STATISTIKA, 15 (1), 2022. doi: 10.14710/medstat.15.1.12-23

Last update: 2024-11-02 20:26:05

No citation recorded.