Treatment of outlier using interpolation method in Malaysia tourist arrivals
The presence of outliers is an example of aberrant data that can have huge negative influence on statistical method under the assumption of normality and it affects the estimation. This paper introduces an alternative method as outlier treatment in time series which is interpolation. It compares two...
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| Format: | Article |
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Science Publishing Corporation
2018
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| Online Access: | http://eprints.uthm.edu.my/5548/ |
| _version_ | 1848888579962437632 |
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| author | Nor, Maria Elena Wahir, Norsoraya Azurin Khuneswari, G. P. Rusiman, Mohd Saifullah |
| author_facet | Nor, Maria Elena Wahir, Norsoraya Azurin Khuneswari, G. P. Rusiman, Mohd Saifullah |
| author_sort | Nor, Maria Elena |
| building | UTHM Institutional Repository |
| collection | Online Access |
| description | The presence of outliers is an example of aberrant data that can have huge negative influence on statistical method under the assumption of normality and it affects the estimation. This paper introduces an alternative method as outlier treatment in time series which is interpolation. It compares two interpolation methods using performance indicator. Assuming outlier as a missing value in the data allows the application of the interpolation method to interpolate the missing value, thus comparing the result using the forecast accuracy. The monthly time series data from January 1998 until December 2015 of Malaysia Tourist Arrivals were used to deal with outliers. The results found that the cubic spline interpolation method gave the best result than the linear interpolation and the improved time series data indicated better performance in forecasting rather than the original time series data of Box-Jenkins model. |
| first_indexed | 2025-11-15T20:12:32Z |
| format | Article |
| id | uthm-5548 |
| institution | Universiti Tun Hussein Onn Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T20:12:32Z |
| publishDate | 2018 |
| publisher | Science Publishing Corporation |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uthm-55482022-01-13T07:53:58Z http://eprints.uthm.edu.my/5548/ Treatment of outlier using interpolation method in Malaysia tourist arrivals Nor, Maria Elena Wahir, Norsoraya Azurin Khuneswari, G. P. Rusiman, Mohd Saifullah HD28-70 Management. Industrial Management The presence of outliers is an example of aberrant data that can have huge negative influence on statistical method under the assumption of normality and it affects the estimation. This paper introduces an alternative method as outlier treatment in time series which is interpolation. It compares two interpolation methods using performance indicator. Assuming outlier as a missing value in the data allows the application of the interpolation method to interpolate the missing value, thus comparing the result using the forecast accuracy. The monthly time series data from January 1998 until December 2015 of Malaysia Tourist Arrivals were used to deal with outliers. The results found that the cubic spline interpolation method gave the best result than the linear interpolation and the improved time series data indicated better performance in forecasting rather than the original time series data of Box-Jenkins model. Science Publishing Corporation 2018 Article PeerReviewed Nor, Maria Elena and Wahir, Norsoraya Azurin and Khuneswari, G. P. and Rusiman, Mohd Saifullah (2018) Treatment of outlier using interpolation method in Malaysia tourist arrivals. International Journal of Engineering & Technology, 7 (7.3). pp. 51-53. ISSN 2227-524X http://dx.doi.org/10.14419/ijet.v7i3.7.16207 |
| spellingShingle | HD28-70 Management. Industrial Management Nor, Maria Elena Wahir, Norsoraya Azurin Khuneswari, G. P. Rusiman, Mohd Saifullah Treatment of outlier using interpolation method in Malaysia tourist arrivals |
| title | Treatment of outlier using interpolation method in Malaysia tourist arrivals |
| title_full | Treatment of outlier using interpolation method in Malaysia tourist arrivals |
| title_fullStr | Treatment of outlier using interpolation method in Malaysia tourist arrivals |
| title_full_unstemmed | Treatment of outlier using interpolation method in Malaysia tourist arrivals |
| title_short | Treatment of outlier using interpolation method in Malaysia tourist arrivals |
| title_sort | treatment of outlier using interpolation method in malaysia tourist arrivals |
| topic | HD28-70 Management. Industrial Management |
| url | http://eprints.uthm.edu.my/5548/ http://eprints.uthm.edu.my/5548/ |