Circular(2)-linear regression analysis with iteration order manipulation
Data in the form of time cycle or point position to the angle of possibility is no longer suitable to be analyzed using classical linear statistic method because the direction and the angle influence the position between one data with other data. This paper aims to examine the comparison of Linear R...
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Universitas Ahmad Dahlan
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doaj-f8b6c310ecdd464e9ab967defa5405a92020-11-24T21:05:30ZengUniversitas Ahmad DahlanIJAIN (International Journal of Advances in Intelligent Informatics)2442-65712548-31612017-07-013210711610.26555/ijain.v3i2.9071Circular(2)-linear regression analysis with iteration order manipulationMuhamad Irpan Nurhab0Badaruddin Nurhab1Tuti Purwaningsih2Ming Foey Teng3Department of Economics, STIE MURADepartment of Economics, IAIN BengkuluUniversitas Islam IndonesiaAmerican University of Middle EastData in the form of time cycle or point position to the angle of possibility is no longer suitable to be analyzed using classical linear statistic method because the direction and the angle influence the position between one data with other data. This paper aims to examine the comparison of Linear Regression Analysis with Circular Regression Analysis. The writing method used is literature review using simulation data. Data simulation and analysis is done with the help of R program. The results showed that circular data is better analyzed by Circular Regression Analysis rather than Classical Linear Regression Analysis. The use of classical linear statistic method is not recommended due to the direction and the angle influence the position between one data with other data.http://ijain.org/index.php/IJAIN/article/view/90data circularcircularlinear regression |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Muhamad Irpan Nurhab Badaruddin Nurhab Tuti Purwaningsih Ming Foey Teng |
spellingShingle |
Muhamad Irpan Nurhab Badaruddin Nurhab Tuti Purwaningsih Ming Foey Teng Circular(2)-linear regression analysis with iteration order manipulation IJAIN (International Journal of Advances in Intelligent Informatics) data circular circular linear regression |
author_facet |
Muhamad Irpan Nurhab Badaruddin Nurhab Tuti Purwaningsih Ming Foey Teng |
author_sort |
Muhamad Irpan Nurhab |
title |
Circular(2)-linear regression analysis with iteration order manipulation |
title_short |
Circular(2)-linear regression analysis with iteration order manipulation |
title_full |
Circular(2)-linear regression analysis with iteration order manipulation |
title_fullStr |
Circular(2)-linear regression analysis with iteration order manipulation |
title_full_unstemmed |
Circular(2)-linear regression analysis with iteration order manipulation |
title_sort |
circular(2)-linear regression analysis with iteration order manipulation |
publisher |
Universitas Ahmad Dahlan |
series |
IJAIN (International Journal of Advances in Intelligent Informatics) |
issn |
2442-6571 2548-3161 |
publishDate |
2017-07-01 |
description |
Data in the form of time cycle or point position to the angle of possibility is no longer suitable to be analyzed using classical linear statistic method because the direction and the angle influence the position between one data with other data. This paper aims to examine the comparison of Linear Regression Analysis with Circular Regression Analysis. The writing method used is literature review using simulation data. Data simulation and analysis is done with the help of R program. The results showed that circular data is better analyzed by Circular Regression Analysis rather than Classical Linear Regression Analysis. The use of classical linear statistic method is not recommended due to the direction and the angle influence the position between one data with other data. |
topic |
data circular circular linear regression |
url |
http://ijain.org/index.php/IJAIN/article/view/90 |
work_keys_str_mv |
AT muhamadirpannurhab circular2linearregressionanalysiswithiterationordermanipulation AT badaruddinnurhab circular2linearregressionanalysiswithiterationordermanipulation AT tutipurwaningsih circular2linearregressionanalysiswithiterationordermanipulation AT mingfoeyteng circular2linearregressionanalysiswithiterationordermanipulation |
_version_ |
1716768555400167424 |