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...

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Main Author: DEVILA (10112068), SINDY
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/30963
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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
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