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Using ridge regression to analysis the meteorological data in Sulaimani
Other Title(s)
استخدام انحدار الحرف لتحليل بيانات الأرصاد الجوية في السلمانية
Author
Source
Iraqi Journal of Statistical Science
Issue
Vol. 17, Issue 32 (31 Dec. 2020), pp.76-86, 11 p.
Publisher
University of Mosul College of Computer Science and Mathematics
Publication Date
2020-12-31
Country of Publication
Iraq
No. of Pages
11
Main Subjects
Abstract EN
Linear regression is one of the frequently used statistical methods that have applications in all field of daily life.
in a statistical perspective, the regression analysis is used for studying the relationship between a dependent variable and a set of independent variables.
the ridge regression is the most widely model in solving the multicolinearity problem, and it's an alternative to OLS.
multicollinearity is the most common problem in multiple regression models in which there exists a perfect relationship between two explanatory variables or more in the model.
in this study, ridge regression model was used to estimate linear regression model.
this result was compared with result obtained using ordinary least squares model in order to find the best regression model.
we have used meteorological data in this study.
the results showed that the ridge regression method can be used to resolve the multicollinearity problem, without deleting the independent correlated variables of the model and able to estimate parameters with lower standard error values.
American Psychological Association (APA)
Ahmad, Layla Aziz. 2020. Using ridge regression to analysis the meteorological data in Sulaimani. Iraqi Journal of Statistical Science،Vol. 17, no. 32, pp.76-86.
https://search.emarefa.net/detail/BIM-1335137
Modern Language Association (MLA)
Ahmad, Layla Aziz. Using ridge regression to analysis the meteorological data in Sulaimani. Iraqi Journal of Statistical Science Vol. 17, no. 32 (2020), pp.76-86.
https://search.emarefa.net/detail/BIM-1335137
American Medical Association (AMA)
Ahmad, Layla Aziz. Using ridge regression to analysis the meteorological data in Sulaimani. Iraqi Journal of Statistical Science. 2020. Vol. 17, no. 32, pp.76-86.
https://search.emarefa.net/detail/BIM-1335137
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 85-86
Record ID
BIM-1335137