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All Journal Media Statistika AdMathEdu : Jurnal Ilmiah Pendidikan Matematika, Ilmu Matematika dan Matematika Terapan Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Sri Haryatmi
Jurusan Matematika FMIPA UGM
Decision Sciences, Operations Research & Management Education Mathematics

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SIFAT ASIMTOTIK ESTIMATOR NADARAYA-WATSON DENGAN KERNEL ORDE TAK HINGGA Maria Suci Apriani; Sri Haryatmi
AdMathEdu : Jurnal Ilmiah Pendidikan Matematika, Ilmu Matematika dan Matematika Terapan Vol 5, No 1: Juni 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (338.712 KB) | DOI: 10.12928/admathedu.v5i1.4781

Abstract

REGRESI NONPARAMETRIK KERNEL ADJUSTED Novita Eka Chandra; Sri Haryatmi; Zulaela Zulaela
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 7 No 1 (2015): Jurnal Ilmiah Matematika dan Pendidikan Matematika
Publisher : Jurusan Matematika FMIPA Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2015.7.1.2894

Abstract

Nadaraya Watson's kernel adjusted regression estimator is an estimator whose kernel is taken from the family of scale-location associated with the classical kernel density estimator. Based on these estimator, it can be obtained optimal bandwith and scale parameter. This estimator gives a better estimation results compared with Naradaya Watson's classical kernel regression estimator. This is proven by the small grade MSE which is given by this estimator.
RANCANGAN D-OPTIMAL MODEL MICHAELIS MENTEN DAN EMAX DENGAN MATLAB Tatik Widiharih; Sri Haryatmi; Gunardi Gunardi; Yuciana Wilandari
MEDIA STATISTIKA Vol 8, No 2 (2015): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (228.531 KB) | DOI: 10.14710/medstat.8.2.69-80

Abstract

Michaelis Menten and Emax models  are  widely used in chemistry, pharmacokinetics and pharmacodynamics areas. D-optimal criteria is criteria with the purpuse to minimize the variance of the estimator of parameters in the model. In this paper will discuss the D-optimal design for Michaelis Menten and Emax models with  homoscedastics  error assumtion.  Determination of D-optimal designs based on Generalied Equivalence Theorem Kiefer-Wolvowitz. We used minimally supported design with the proportion of  each design point is uniform, lower bound of design region is design point and the others are interior points.Keywords: D-optimal, Michaelis Menten, Emax, Minimally Supported Design, Homoscedastics
REGRESI NONPARAMETRIK KERNEL ADJUSTED Novita Eka Chandra; Sri Haryatmi; Zulaela Zulaela
Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP) Vol 7 No 1 (2015): Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Publisher : Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2015.7.1.2894

Abstract

Nadaraya Watson's kernel adjusted regression estimator is an estimator whose kernel is taken from the family of scale-location associated with the classical kernel density estimator. Based on these estimator, it can be obtained optimal bandwith and scale parameter. This estimator gives a better estimation results compared with Naradaya Watson's classical kernel regression estimator. This is proven by the small grade MSE which is given by this estimator.
Co-Authors Gunardi Gunardi Maria Suci Apriani Novita Eka Chandra, Novita Eka Tatik Widiharih Yuciana Wilandari Zulaela Zulaela