REDUCTION OF OUTLIERS IMPACT IN LEAD RESERVES DATA USING ROBUST KRIGING
<p align="justify">Mining activities, especially metal, usually encounter extreme values (outliers). Such problem may cause the data no longer normally distributed. Consequently, spacial estimation process using ordinary kriging gives inaccurate result. To overcome this issue, a modi...
Saved in:
Main Author: | |
---|---|
Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/30963 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
id |
id-itb.:30963 |
---|---|
spelling |
id-itb.:309632018-03-26T09:40:24ZREDUCTION OF OUTLIERS IMPACT IN LEAD RESERVES DATA USING ROBUST KRIGING DEVILA (10112068), SINDY Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/30963 <p align="justify">Mining activities, especially metal, usually encounter extreme values (outliers). Such problem may cause the data no longer normally distributed. Consequently, spacial estimation process using ordinary kriging gives inaccurate result. To overcome this issue, a modification in kriging predictor equation is needed. The robust kriging procedure can be used to estimate lead reserves which have been modeled using Matheron, Cressie-Hawkins, and Dowd semivariogram. It will be shown that RoK along side with Doed semivariogram give the best, unbiased, and more accurate prediction.<p align="justify"> text |
institution |
Institut Teknologi Bandung |
building |
Institut Teknologi Bandung Library |
continent |
Asia |
country |
Indonesia Indonesia |
content_provider |
Institut Teknologi Bandung |
collection |
Digital ITB |
language |
Indonesia |
description |
<p align="justify">Mining activities, especially metal, usually encounter extreme values (outliers). Such problem may cause the data no longer normally distributed. Consequently, spacial estimation process using ordinary kriging gives inaccurate result. To overcome this issue, a modification in kriging predictor equation is needed. The robust kriging procedure can be used to estimate lead reserves which have been modeled using Matheron, Cressie-Hawkins, and Dowd semivariogram. It will be shown that RoK along side with Doed semivariogram give the best, unbiased, and more accurate prediction.<p align="justify"> |
format |
Final Project |
author |
DEVILA (10112068), SINDY |
spellingShingle |
DEVILA (10112068), SINDY REDUCTION OF OUTLIERS IMPACT IN LEAD RESERVES DATA USING ROBUST KRIGING |
author_facet |
DEVILA (10112068), SINDY |
author_sort |
DEVILA (10112068), SINDY |
title |
REDUCTION OF OUTLIERS IMPACT IN LEAD RESERVES DATA USING ROBUST KRIGING |
title_short |
REDUCTION OF OUTLIERS IMPACT IN LEAD RESERVES DATA USING ROBUST KRIGING |
title_full |
REDUCTION OF OUTLIERS IMPACT IN LEAD RESERVES DATA USING ROBUST KRIGING |
title_fullStr |
REDUCTION OF OUTLIERS IMPACT IN LEAD RESERVES DATA USING ROBUST KRIGING |
title_full_unstemmed |
REDUCTION OF OUTLIERS IMPACT IN LEAD RESERVES DATA USING ROBUST KRIGING |
title_sort |
reduction of outliers impact in lead reserves data using robust kriging |
url |
https://digilib.itb.ac.id/gdl/view/30963 |
_version_ |
1822267621746147328 |