Jurnal Teknik Industri
Vol. 8 No. 1 (2006): JUNE 2006

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

Siana Halim (Faculty of Industrial Tehnology, Petra Christian University)
Indriati Bisono (Faculty of Industrial Tehnology, Petra Christian University)



Article Info

Publish Date
11 Oct 2006

Abstract

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.

Copyrights © 2006






Journal Info

Abbrev

ind

Publisher

Subject

Industrial & Manufacturing Engineering

Description

Jurnal Teknik Industri aims to: Promote a comprehensive approach to the application of industrial engineering in industries as well as incorporating viewpoints of different disciplines in industrial engineering. Strengthen academic exchange with other institutions. Encourage scientist, practicing ...