Among the issues that preoccupied ancient and modern grammarians is the phenomenon of grammatical disagreement among grammarians and their differences in many grammatical issues that many of them go back to the phenomenon of dialectical difference, so this filled our thinking with a lot of things that led us to look at the side of the reasons for this grammatical difference, and here lies the significance of research to know that it is a linguistic phenomenon dealing with the living language used among the Arabs and linguistic phenomena that reflect linguistic reality as well. Thus our chagrin determination in research and investigation in this issue is the scarcity of dialectical studies at the compositional grammar side, and the lack of a competent study on grammatical disagreement which are taken dialects as the main instrument and main reason in the field of study. In addition, lack of a research to talk about multifaceted grammatical rules; the multiplicity of cases of syntax, or to the different syntactic positions, hence the significance of our research is to indicate the reason for multifaceted grammatical rules, which is the dialectical difference. Therefore, the research is to study this problem explaining the main reasons behind the grammatical disagreement and its impact on the multiplicity of grammatical rules, namely the dialectical differences. Thus, the research is divided into three sections: the first section is devoted to the research terms, the second one is devoted to the definition of dialectical difference and to know the its causes and consequences, the third and the last one is about dialectical difference issues that have had an impact on the multiplicity of grammatical rules that reached twenty-one issues.
Key words: Multiple, object, provisions, disagreement, discord, grammatical
In this paper, we made comparison among different parametric ,nonparametric and semiparametric estimators for partial linear regression model users parametric represented by ols and nonparametric methods represented by cubic smoothing spline estimator and Nadaraya-Watson estimator, we study three nonparametric regression models and samples sizes n=40,60,100,variances used σ2=0.5,1,1.5 the results for the first model show that N.W estimator for partial linear regression model(PLM) is the best followed the cubic smoothing spline estimator for (PLM),and the results of the second and the third model show that the best estimator is C.S.S.followed by N.W estimator for (PLM) ,the
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