Preferred Language
Articles
/
jeasiq-32
discriminate analysis and logistic regression by use partial least square
...Show More Authors

Abstract

   The method binery logistic regression and linear discrimint function of the most important statistical methods used in the classification and prediction when the data of the kind of binery (0,1) you can not use the normal regression therefore resort to binary logistic regression and linear discriminant function in the case of two group in the case of a Multicollinearity problem between the data (the data containing high correlation) It became not possible to use binary logistic regression and linear discriminant function, to solve this problem, we resort to Partial least square regression.

In this, search the comparison between binary logistic regression and linear discriminant function using error Category. Where the data has been generating a variable response (Y) binery data (0,1) containing Multicollinearity problem by the samples (50-100-150-250-400) and the variables (5-10-15). Multicollinearity problem has been processed using a method partial least square The research found that linear discriminant function It is the best in the classification of data from binary logistic regression classified as linear discriminant function the data correctly and more accurate than binary logistic regression

Crossref
View Publication Preview PDF
Quick Preview PDF
Publication Date
Fri Jan 31 2025
Journal Name
Aip Conference Proceedings
Classification of oral cavity cancer using linear discriminant analysis (LDA) and principal component analysis (PCA)
...Show More Authors

View Publication
Scopus (1)
Crossref (1)
Scopus Crossref
Publication Date
Fri May 15 2009
Journal Name
Journal Of Planner And Development
Study of Change in Regional Land Use Using Remote Sensing Technology and Geographic Information Systems / Study Area (Hawr Al Huweiza) for the Years 1973-1990-2004
...Show More Authors

 

his project try to explain the using ability of spatial techniques for land cover change detection on regional level with the time parameter and did select for explain these abilities study case (Hewaizah marsh ) . this area apply to many big changes with the time. These changes made action on characters and behaviors of this area as well as all activities in it . This Project concerting to recognize the Using importance of remote sensing and GIS Methodology in data collecting for the changes of land use and the methodology for the analyses and getting the results for the next using as a base data for development and drawing the plans as well as in regional planning .This project focus on practical

... Show More
View Publication Preview PDF
Publication Date
Sun Jan 01 2023
Journal Name
Aip Conference Proceedings
Using the artificial TABU algorithm to estimate the semi-parametric regression function with measurement errors
...Show More Authors

Artificial Intelligence Algorithms have been used in recent years in many scientific fields. We suggest employing artificial TABU algorithm to find the best estimate of the semi-parametric regression function with measurement errors in the explanatory variables and the dependent variable, where measurement errors appear frequently in fields such as sport, chemistry, biological sciences, medicine, and epidemiological studies, rather than an exact measurement.

Scopus Crossref
Publication Date
Wed Oct 01 2014
Journal Name
Journal Of Economics And Administrative Sciences
Spatial Regression Models Estimation for the poverty Rates In the districts of Iraq in 2012
...Show More Authors

The research took the spatial autoregressive model: SAR and spatial error model: SEM  in an attempt to provide practical evidence that proves the importance of spatial analysis, with a particular focus on the importance of using regression models spatial and that includes all of the spatial dependence, which we can test its presence or not by using Moran test. While ignoring this dependency may lead to the loss of important information about the phenomenon under research is reflected in the end on the strength of the statistical estimation power, as these models are the link between the usual regression models with time-series models. The spatial analysis had been applied to Iraq Household Socio-Economic Survey: IHS

... Show More
View Publication Preview PDF
Crossref
Publication Date
Sat Dec 21 2024
Journal Name
Edelweiss Applied Science And Technology
Using count regression models to investigate the most important economic factors affecting divorce in Iraq
...Show More Authors

The two most popular models inwell-known count regression models are Poisson and negative binomial regression models. Poisson regression is a generalized linear model form of regression analysis used to model count data and contingency tables. Poisson regression assumes the response variable Y has a Poisson distribution, and assumes the logarithm of its expected value can be modeled by a linear combination of unknown parameters. Negative binomial regression is similar to regular multiple regression except that the dependent (Y) variables an observed count that follows the negative binomial distribution. This research studies some factors affecting divorce using Poisson and negative binomial regression models. The factors are unemplo

... Show More
View Publication
Scopus Crossref
Publication Date
Wed Oct 01 2014
Journal Name
Journal Of Economics And Administrative Sciences
Spatial Regression Model Estimation for the poverty Rates In the districts of Iraq in 2012
...Show More Authors

Theresearch took the spatial autoregressive model: SAR and spatial error model: SEM in an attempt to provide a practical evident that proves the importance of spatial analysis, with a particular focus on the importance of using regression models spatial andthat includes all of them spatial dependence, which we can test its presence or not by using Moran test. While ignoring this dependency may lead to the loss of important information about the phenomenon under research is reflected in the end on the strength of the statistical estimation power, as these models are the link between the usual regression models with time-series models. Spatial analysis had

... Show More
View Publication Preview PDF
Publication Date
Sat Dec 28 2019
Journal Name
Journal Of Mechanics Of Continua And Mathematical Sciences
NEW ROBUST ESTIMATOR OF CHANGE POINT IN SEGMENTED REGRESSION MODEL FOR BED-LOAD OF RIVERS
...Show More Authors

View Publication Preview PDF
Clarivate Crossref
Publication Date
Sat Sep 01 2018
Journal Name
المجلة العلمیة للتربیة البدنیة وعلوم الریاضة. جامعة حلوان
التحليل النوعي لمهارتي الارسال والهجوم وعلاقتهما بنتائج الدوري العراقي
...Show More Authors

Publication Date
Wed Dec 20 2023
Journal Name
Arab Science Heritage Journal
التحليل الداللي للكلمات المستبدلة في سورتي المؤمنون و النور
...Show More Authors

The words in the Holy Qur’an are distinguished by the
accuracy of expression, their elegance, the lightness of their
performance, the harmony of their timbre, as well as the ease of
their pronunciation. We find the coarse words in which the
movement of sounds and the hesitation of the soul are mixed, as
it was distinguished by the abundance of its words indicating the
same meaning without a phenomenon that the reader or the
listener notices

View Publication Preview PDF
Publication Date
Sun Jan 01 2006
Journal Name
Journal Of The College Of Languages (jcl)
L’analyse structurale en stylistique Caractéristiques, et tentative d’application sur un poème de Verlaine
...Show More Authors

La stylistique, héritière de la rhétorique, est ‘la science du style’. La stylistique

qui a commencé, dès son apparition, par être divisée en stylistique de l’expression et

stylistique génétique s’est vu connaître d’autres classements en stylistique idéaliste,

structuraliste, fonctionnaliste ; générativiste….etc.

Cette évolution continuelle reflète la richesse de cette discipline. La diversité des

courants et écoles dans ce domaine se traduit sur le champ par une variété de méthodes

d’analyse stylistique.

L’enjeu principal dans la plupart de ces méthodes d’analyse est la manière selon la

quelle la relation entre langue et parole, langu

... Show More
View Publication Preview PDF