Use of information criteria and detection model methods to select the best linear regression model with application on thalassemia children in Mosul

Use of information criteria and detection model methods to select the best linear regression model with application on thalassemia children in Mosul

ABSTRACT<br /> In this paper we compute Akaike's Information Criteria (AIC), Bayesian Information Criteria (BIC) and Schwarz Bayesian Criteria (SBC) for all possible for independent variables.<br /> The three criteria are measurement of the difference between a given model and the r...

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Bibliographic Details
Main Author: Iman Fathy
Format: Article
Language:Arabic
Published: College of Education for Pure Sciences 2012-06-01
Series:مجلة التربية والعلم
Subjects:
information criteria
linear regression model
thalassemia children
mosul
Online Access:https://edusj.mosuljournals.com/article_59140_5164ef5ac3bacf34a9932f9864ac2ac6.pdf
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spelling doaj-02a21cf787354e1eb78350bfbc52cb922020-11-25T01:41:21ZaraCollege of Education for Pure Sciencesمجلة التربية والعلم1812-125X2664-25302012-06-0125218920010.33899/edusj.2012.5914059140Use of information criteria and detection model methods to select the best linear regression model with application on thalassemia children in MosulIman FathyABSTRACT<br /> In this paper we compute Akaike's Information Criteria (AIC), Bayesian Information Criteria (BIC) and Schwarz Bayesian Criteria (SBC) for all possible for independent variables.<br /> The three criteria are measurement of the difference between a given model and the real model, and the model with smallest (AIC), (BIC) and (SBC) compared with other models is the best one.<br /> This study is applied to data gathered from children infected with Thelasymia disease, and the data are analyzed by using SAS to evaluate which of the models is the best model to determine the best subset of variables that minimize the information criteria among all the variables in the study. We compare the three criteria with model diagnostic like root mean squared error (RMSE), Mallow's and adjusted .https://edusj.mosuljournals.com/article_59140_5164ef5ac3bacf34a9932f9864ac2ac6.pdfinformation criterialinear regression modelthalassemia childrenmosul
collection DOAJ
language Arabic
format Article
sources DOAJ
author Iman Fathy
spellingShingle Iman Fathy
Use of information criteria and detection model methods to select the best linear regression model with application on thalassemia children in Mosul
مجلة التربية والعلم
information criteria
linear regression model
thalassemia children
mosul
author_facet Iman Fathy
author_sort Iman Fathy
title Use of information criteria and detection model methods to select the best linear regression model with application on thalassemia children in Mosul
title_short Use of information criteria and detection model methods to select the best linear regression model with application on thalassemia children in Mosul
title_full Use of information criteria and detection model methods to select the best linear regression model with application on thalassemia children in Mosul
title_fullStr Use of information criteria and detection model methods to select the best linear regression model with application on thalassemia children in Mosul
title_full_unstemmed Use of information criteria and detection model methods to select the best linear regression model with application on thalassemia children in Mosul
title_sort use of information criteria and detection model methods to select the best linear regression model with application on thalassemia children in mosul
publisher College of Education for Pure Sciences
series مجلة التربية والعلم
issn 1812-125X
2664-2530
publishDate 2012-06-01
description ABSTRACT<br /> In this paper we compute Akaike's Information Criteria (AIC), Bayesian Information Criteria (BIC) and Schwarz Bayesian Criteria (SBC) for all possible for independent variables.<br /> The three criteria are measurement of the difference between a given model and the real model, and the model with smallest (AIC), (BIC) and (SBC) compared with other models is the best one.<br /> This study is applied to data gathered from children infected with Thelasymia disease, and the data are analyzed by using SAS to evaluate which of the models is the best model to determine the best subset of variables that minimize the information criteria among all the variables in the study. We compare the three criteria with model diagnostic like root mean squared error (RMSE), Mallow's and adjusted .
topic information criteria
linear regression model
thalassemia children
mosul
url https://edusj.mosuljournals.com/article_59140_5164ef5ac3bacf34a9932f9864ac2ac6.pdf
work_keys_str_mv AT imanfathy useofinformationcriteriaanddetectionmodelmethodstoselectthebestlinearregressionmodelwithapplicationonthalassemiachildreninmosul
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