FUNGSI-FUNGSI KERNEL PADA METODE REGRESI NONPARAMETRIK DAN APLIKASINYA PADA PRIEST RIVER EXPERIMENTAL FOREST'S DATA

FUNGSI-FUNGSI KERNEL PADA METODE REGRESI NONPARAMETRIK DAN APLIKASINYA PADA PRIEST RIVER EXPERIMENTAL FOREST'S DATA

In this paper we discuss some models for estimating the regression function, provided the data Y is given. The programming of these function are presented as well as the "tricks" in the R- programming, a statistical freeware. We applied these models to The Priest River Experimental Forest&...

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Bibliographic Details
Main Authors: Siana Halim, Indriati Bisono
Format: Article
Language:English
Published: Petra Christian University 2006-01-01
Series:Jurnal Teknik Industri
Subjects:
nonparametric regression
smoothing
kernel
R.
Online Access:http://puslit2.petra.ac.id/ejournal/index.php/ind/article/view/16503
Description
Summary:In this paper we discuss some models for estimating the regression function, provided the data Y is given. The programming of these function are presented as well as the "tricks" in the R- programming, a statistical freeware. We applied these models to The Priest River Experimental Forest's data. Abstract in Bahasa Indonesia : Dalam paper ini akan diberikan beberapa model untuk mengestimasi fungsi regresi bila sebuah data Y diberikan. Pembuatan fungsi - fungsi estimasti tersebut juga diberikan dengan menggunakan freeware statistik R dan juga diberikan beberapa trik dalam pemrograman. Model-model ini diaplikasikan pada Priest River Experimental Forest's data. Kata kunci: regresi nonparametrik, smoothing, kernel, R.
ISSN:1411-2485

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