Algorithmic approaches in model selection of the air passengers flows data
Algorithm is an important element in any problem solving situation.In statistical modelling strategy, the algorithm provides a step by step process in model building, model testing, choosing the ‘best’ model and even forecasting using the chosen model.Tacit knowledge has contributed to the existenc...
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2015
|
| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/15488/1/PID218.pdf |
| _version_ | 1825803543850778624 |
|---|---|
| author | Ismail, Suzilah Yusof, Norhayati Tuan Muda, Tuan Zalizam |
| author_facet | Ismail, Suzilah Yusof, Norhayati Tuan Muda, Tuan Zalizam |
| author_sort | Ismail, Suzilah |
| collection | UUM |
| description | Algorithm is an important element in any problem solving situation.In statistical modelling strategy, the algorithm provides a step by step process in model building, model testing, choosing the ‘best’ model and even forecasting using the chosen model.Tacit knowledge has contributed
to the existence of a huge variability in manual modelling process especially between expert and non-expert modellers.Many algorithms (automated
model selection) have been developed to bridge the gap either through single or multiple equation modelling.This study aims to evaluate the forecasting performances of several selected algorithms on air passengers flow data based on Root Mean Square Error (RMSE) and Geometric Root Mean Square Error (GRMSE).The findings show that multiple models selection performed well in one and two step-ahead forecast but was outperformed by single model in three step-ahead forecasts. |
| first_indexed | 2024-07-04T05:58:50Z |
| format | Conference or Workshop Item |
| id | uum-15488 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T05:58:50Z |
| publishDate | 2015 |
| record_format | eprints |
| spelling | uum-154882016-04-27T04:18:37Z https://repo.uum.edu.my/id/eprint/15488/ Algorithmic approaches in model selection of the air passengers flows data Ismail, Suzilah Yusof, Norhayati Tuan Muda, Tuan Zalizam QA76 Computer software Algorithm is an important element in any problem solving situation.In statistical modelling strategy, the algorithm provides a step by step process in model building, model testing, choosing the ‘best’ model and even forecasting using the chosen model.Tacit knowledge has contributed to the existence of a huge variability in manual modelling process especially between expert and non-expert modellers.Many algorithms (automated model selection) have been developed to bridge the gap either through single or multiple equation modelling.This study aims to evaluate the forecasting performances of several selected algorithms on air passengers flow data based on Root Mean Square Error (RMSE) and Geometric Root Mean Square Error (GRMSE).The findings show that multiple models selection performed well in one and two step-ahead forecast but was outperformed by single model in three step-ahead forecasts. 2015 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/15488/1/PID218.pdf Ismail, Suzilah and Yusof, Norhayati and Tuan Muda, Tuan Zalizam (2015) Algorithmic approaches in model selection of the air passengers flows data. In: 5th International Conference on Computing and Informatics (ICOCI) 2015, 11-13 August 2015, Istanbul, Turkey. http://www.icoci.cms.net.my/proceedings/2015/TOC.html |
| spellingShingle | QA76 Computer software Ismail, Suzilah Yusof, Norhayati Tuan Muda, Tuan Zalizam Algorithmic approaches in model selection of the air passengers flows data |
| title | Algorithmic approaches in model selection of the air passengers flows data |
| title_full | Algorithmic approaches in model selection of the air passengers flows data |
| title_fullStr | Algorithmic approaches in model selection of the air passengers flows data |
| title_full_unstemmed | Algorithmic approaches in model selection of the air passengers flows data |
| title_short | Algorithmic approaches in model selection of the air passengers flows data |
| title_sort | algorithmic approaches in model selection of the air passengers flows data |
| topic | QA76 Computer software |
| url | https://repo.uum.edu.my/id/eprint/15488/1/PID218.pdf |
| work_keys_str_mv | AT ismailsuzilah algorithmicapproachesinmodelselectionoftheairpassengersflowsdata AT yusofnorhayati algorithmicapproachesinmodelselectionoftheairpassengersflowsdata AT tuanmudatuanzalizam algorithmicapproachesinmodelselectionoftheairpassengersflowsdata |