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Using logistic regression with time-stratified method for air pollution datasets forecasting
Joint Authors
al-Hannun, Usamah Bashir Shukr
Muhammad, Surah Amir
Source
Iraqi Journal of Statistical Science
Issue
Vol. 17, Issue 31 (30 Jun. 2020), pp.33-48, 16 p.
Publisher
University of Mosul College of Computer Science and Mathematics
Publication Date
2020-06-30
Country of Publication
Iraq
No. of Pages
16
Main Subjects
Economics & Business Administration
Abstract EN
Particular matter (PM10) studying and forecasting is necessary to control and reduce the damage of environment and human health.
There are many pollutants as sources of air pollution may effect on PM10 variable.
Studied datasets have been taken from the Kuala Lumpur meteorological station, Malaysia.
Logistic regression (LR) is built by using generalized linear model as a special case of linear statistical methods, therefore it may reflect inaccurate results when used with nonlinear datasets.
Time stratified (TS) method in different styles is proposed for satisfying more homogeneity of datasets.
It includes ordering similar seasons in different years together to formulate new variable smoother than their original.
The results of LR model in this study reflect outperforming for time stratified datasets comparing to full dataset.
In conclusion, LR forecasting can be depended after datasets time stratifying to satisfy more accuracy with nonlinear multivariate datasets in which PM10 is to dependent variable.
American Psychological Association (APA)
Muhammad, Surah Amir& al-Hannun, Usamah Bashir Shukr. 2020. Using logistic regression with time-stratified method for air pollution datasets forecasting. Iraqi Journal of Statistical Science،Vol. 17, no. 31, pp.33-48.
https://search.emarefa.net/detail/BIM-1334445
Modern Language Association (MLA)
Muhammad, Surah Amir& al-Hannun, Usamah Bashir Shukr. Using logistic regression with time-stratified method for air pollution datasets forecasting. Iraqi Journal of Statistical Science Vol. 17, no. 31 (2020), pp.33-48.
https://search.emarefa.net/detail/BIM-1334445
American Medical Association (AMA)
Muhammad, Surah Amir& al-Hannun, Usamah Bashir Shukr. Using logistic regression with time-stratified method for air pollution datasets forecasting. Iraqi Journal of Statistical Science. 2020. Vol. 17, no. 31, pp.33-48.
https://search.emarefa.net/detail/BIM-1334445
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 47-48
Record ID
BIM-1334445