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Roles of single interpolation and statistical distributions on application in air quality data sets: An overview

Regional Engineering Postgraduate Conference 2009 (EPC 2009) organized by Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia, from 20th - 21st October 2009 at Palm Garden Hotel, Putrajaya, Malaysia.

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Bibliographic Details
Main Authors: Norazian, Mohamed Noor, Mohd Lutfi, Zainudin
Format: Working Paper
Language:English
Published: Universiti Kebangsaan Malaysia (UKM) 2011
Subjects:
Missing Data
Time-series
Interpolation
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/10496
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spelling my.unimap-104962011-01-25T04:13:45Z Roles of single interpolation and statistical distributions on application in air quality data sets: An overview Norazian, Mohamed Noor Mohd Lutfi, Zainudin Missing Data Time-series Interpolation Regional Engineering Postgraduate Conference 2009 (EPC 2009) organized by Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia, from 20th - 21st October 2009 at Palm Garden Hotel, Putrajaya, Malaysia. Since missing data in environmental data sets usually happen and ignorable the missing data and discard those incomplete cases in data sets as approach. However, this is not suitable for time-series prediction especially for air quality data sets. From the literatures study, has a valid method to predict the missing data in air pollutant data sets, its interpolation method. Interpolation as a well known problem in numerical method and it has been used in difference approaches in environmental data sets. Air pollutant concentrations are essentially random variables and can be well described by statistical distribution models. The statistical distribution models useful tools in predicting the distribution of air pollutant concentration. In other hand, through usage statistical distributions also able to estimate missing value in air quality concentration data sets. 2011-01-20T01:38:30Z 2011-01-20T01:38:30Z 2009-10-20 Working Paper 978-983-2982-28-9 http://hdl.handle.net/123456789/10496 en Proceedings of the Regional Engineering Postgraduate Conference 2009 (EPC 2009) Universiti Kebangsaan Malaysia (UKM) Faculty of Engineering & Built Environment
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Missing Data
Time-series
Interpolation
spellingShingle Missing Data
Time-series
Interpolation
Norazian, Mohamed Noor
Mohd Lutfi, Zainudin
Roles of single interpolation and statistical distributions on application in air quality data sets: An overview
description Regional Engineering Postgraduate Conference 2009 (EPC 2009) organized by Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia, from 20th - 21st October 2009 at Palm Garden Hotel, Putrajaya, Malaysia.
format Working Paper
author Norazian, Mohamed Noor
Mohd Lutfi, Zainudin
author_facet Norazian, Mohamed Noor
Mohd Lutfi, Zainudin
author_sort Norazian, Mohamed Noor
title Roles of single interpolation and statistical distributions on application in air quality data sets: An overview
title_short Roles of single interpolation and statistical distributions on application in air quality data sets: An overview
title_full Roles of single interpolation and statistical distributions on application in air quality data sets: An overview
title_fullStr Roles of single interpolation and statistical distributions on application in air quality data sets: An overview
title_full_unstemmed Roles of single interpolation and statistical distributions on application in air quality data sets: An overview
title_sort roles of single interpolation and statistical distributions on application in air quality data sets: an overview
publisher Universiti Kebangsaan Malaysia (UKM)
publishDate 2011
url http://dspace.unimap.edu.my/xmlui/handle/123456789/10496
_version_ 1643789919756222464
score 13.222552

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