KARAKTERISTIK PENDUGA VARIOGRAM UNTUK DATA NONSTASIONER

Kamid, Katarina Lasmiasih (2013) KARAKTERISTIK PENDUGA VARIOGRAM UNTUK DATA NONSTASIONER. Fakultas MIPA, Universitas Lampung.

[img]
Preview
Text
COVER DALAM.pdf - Published Version

Download (17kB) | Preview
[img]
Preview
Text
ABSTRACT.pdf - Published Version

Download (49kB) | Preview
[img]
Preview
Text
ABSTRAK.pdf - Published Version

Download (49kB) | Preview
[img]
Preview
Text
MENGESAHKAN.pdf - Published Version

Download (458kB) | Preview
[img]
Preview
Text
MENYETUJUI.pdf - Published Version

Download (462kB) | Preview
[img]
Preview
Text
SURAT PERNYATAAN.pdf - Published Version

Download (380kB) | Preview
[img]
Preview
Text
DAFTAR ISI.pdf - Published Version

Download (32kB) | Preview
[img]
Preview
Text
BAB I.pdf - Published Version

Download (55kB) | Preview
[img]
Preview
Text
BAB II.pdf - Published Version

Download (398kB) | Preview
[img]
Preview
Text
BAB III.pdf - Published Version

Download (88kB) | Preview
[img] Text
BAB IV.pdf - Published Version
Restricted to Registered users only

Download (678kB)
[img]
Preview
Text
BAB V.pdf - Published Version

Download (165kB) | Preview
[img]
Preview
Text
DAFTAR PUSTAKA.pdf - Published Version

Download (6kB) | Preview
[img] Archive
LAMPIRAN.zip - Published Version

Download (182kB)

Abstract

The aims of this study are to find variogram or semivariogram estimator for spatial data, and to discuss the characteristics of estimator obtained by Universal Kriging. If the mean of the sample is constant or stationary, then the method used Ordinary Kriging (OK) and if the mean of the sample to form a trend or nonstationary, then Universal Kriging (UK) method can be used. This study shows that the characteristics of the Ordinary Kriging and Universal Kriging estimator are unbiased and variance minimum of estimator (BLUE) .For computation purposes of the aplication of the Universal Kriging algorithm graphs, this study developes R software language. Keywords : Spatial Data, Variogram, Semivariogram, Kriging, Ordinary Kriging, Universal Kriging, BLUE (Best Linear Unbias Estimation), Unbiased, Variance Minimum.

Item Type: Other
Subjects: Q Science (General) > Q Science (General)
Q Science (General) > QA Mathematics
Divisions: Fakultas MIPA > Prodi Matematika
Depositing User: UPT Perpustakaan Unila
Date Deposited: 24 Feb 2014 06:31
Last Modified: 24 Feb 2014 06:31
URI: http://digilib.unila.ac.id/id/eprint/1234

Actions (login required)

View Item View Item