ContractiveiMappings Having Mixed Finite MonotoneiProperty in  GeneralizediMetric Spaces

Zena Hussein Maibed

doi:10.30526/32.1.1988

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Publication Date

Sun Jan 20 2019

Journal Name

Ibn Al-haitham Journal For Pure And Applied Sciences

Volume

32

Issue Number

1

DOI

10.30526/32.1.1988

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ContractiveiMappings Having Mixed Finite MonotoneiProperty in GeneralizediMetric Spaces

generalized metric spaces

fixedipoint

coincidence point

monotone property .

Zena Hussein Maibed

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In thisipaper, we introduce the concepts of the modified tupledicoincidence points and the mixed finiteimonotone property. Also the existenceiand uniquenessiof modified tupled coincidenceipoint is discusses without continuous condition for mappings having imixed finite monotoneiproperty in generalizedimetric spaces.

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Publication Date

Tue May 07 2024

Journal Name

Aip Conference Proceedings

Filter bases and nano perfect mappings

Filter base

directed-toward a set

nano-closure-converges

nano-closure-directed-toward

almost-nanoconverges

almost-nano-cluster-point

quasi-nano-Hausdorff-closed

nano-compact mappings

nano-rigid a set

nanoperfect- mappings.

Estabraq A.

Y. Y.

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Abstract. In this work, some new concepts were introduced and the relationship between them was studied. These concepts are filter directed-toward, nano-closure-directed-toward and nano-closure-converge to point, and some theories and results about these concepts were presented. A definition almost-nano-converges for set, almost-nano-cluster-point, and definition of quasi-nano-Hausdorff-closed and was also called nano-Hausdorff-closed relative, were also presented several theories related to these definitions were presented and the relationship between them was studied . We also provided other generalizations, including nano closure continuous mappings and it was also called as nano-weaklycontinuous- mappings, as well as providing a definit

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Publication Date

Thu Mar 30 2023

Journal Name

Journal Of Economics And Administrative Sciences

Comparison of Some Methods for Estimating Nonparametric Binary Logistic Regression

Binary logistic regression model

Nadaraya–Watson method

Local Scoring algorithm

Cross validation method

generalized Cross validation

Plug in method.

انموذج الانحدار اللوجستي الثنائي

طريقه ناداريا –واتسون

خوارزمية التهديف الموضعي

طريقة العبور الشرعي

العبور الشرعي المعمم

طريقة الملئ المباشر .

Narjes

Lekaa

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In this research, the methods of Kernel estimator (nonparametric density estimator) were relied upon in estimating the two-response logistic regression, where the comparison was used between the method of Nadaraya-Watson and the method of Local Scoring algorithm, and optimal Smoothing parameter λ was estimated by the methods of Cross-validation and generalized Cross-validation, bandwidth optimal λ has a clear effect in the estimation process. It also has a key role in smoothing the curve as it approaches the real curve, and the goal of using the Kernel estimator is to modify the observations so that we can obtain estimators with characteristics close to the properties of real parameters, and based on medical data for patients with chro

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