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Register a new userSolving the problem 0f discrepancy between the significance of regression model and non- significance of one of its parameter
حل التناقض بين معنوية نموذج الانحدار و عدم معنوية إحدى معاملاته
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تعد مشكلة القيم الشاذة من المواضيع الهامة التي تؤثر على تقدير الوسطاء الإحصائية و بخاصة وسطاء نموذج الانحدار . حاولنا في هذا البحث تقديم فكرة شاملة عن القيم الشاذة و بعض طرائق اكتشافها و معالجتها بالإضافة لذلك قمنا بوضع خوارزمية جديدة تساعد في ايجاد تقدير للقيم الشاذة ، الأمر الذي يؤدي لمعالجتها و الحصول على نتائج دقيقة لنموذج الانحدار.
The problem of outliers values is considered one of the important objects that affect the estimation of statistical intermediaries specially regression model intermediaries. We have tried in this research to introduce a comprehensive study Of the outliers and some ways of exploring and treating them. In addition to , we have put anew algorithm that helps to find the estimation of the outliers. This matter helps in treating outliers and getting exact results in regression analysis.
References used
Johnson Richard A. and Wichern , Dean w, Applied multivariate statistical Analysis , 6th ed . , pearson prentice Hall ,2007
NETREK J ., WASSERMAN W ., M.KUTNER – Applied linear statistical models experimental designer by richarel .Irwin,P 255.1992
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In this research ,we studied the problem of multicollinearity among
independent variables in the multiple regression model this matter
leads to a mistake in one of the essential conditions of the multiple
regression model and getting incorrect res
ults.
At the beginning we have introduced documented theoretical study
of the kinds of the multicollinearity and of the reasons of the
problem of the multiple regression model and some methods to
discover them.
In addition to this we mentioned some methods that treat the cases of
multiple regression model then we introduced a new method to treat
multicollineartiy and apply it to an example .
In this method we have dealt with multicollinearity on the hand and
solved the problem of discrepancy between the significant of the
regression model and the non-significant of one or more coefficient.
The current research is aimed at scaling Psychasthenia scale of
Minnesota Multiphasic Personality Inventory 2 , access to a new
form and brief to the test, it,s liberal from the sample and items
properties, using one and pair parameter models, and
testing the
effect of two variables in the results of scaling Psychasthenia scale
(the model used, the sample size) with using criteria of accuracy as
the Standard Error, Relaibility and Information Function.
he problem with study of the ways of multiple regression analysis is related to
e to the understanding and the explanation of the complicated relations among
variables which affect the studied phenomenon and the huge amount of the
used data in par
ticular some of this outliers.
In this research we have studied and treated the outliers in case of having two
or more non-significant parameter and we have made anew algorithm to solve
the phenomenon outliers on the one hand and solving the problem of the
significant of multiple regression.
In this research we are studying the possibility of contributing in
solving the problem of the Traveling Salesman Problem, which is
a problem of the type NP-hard . And there is still no algorithm
provides us with the Optimal solution to this problem . All the
algorithms used to give solutions which are close to the optimal
one .
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