Preferred Language
Articles
/
jeasiq-587
Comparison of some robust methods to estimate parameters of partial least squares regression (PLSR)
...Show More Authors

   The technology of reducing dimensions and choosing variables are very important topics in statistical analysis to multivariate. When two or more of the predictor variables are linked in the complete or incomplete regression relationships, a problem of multicollinearity are occurred which consist of the breach of one basic assumptions of the ordinary least squares method with incorrect estimates results.

 There are several methods proposed to address this problem, including the partial least squares (PLS), used to reduce dimensional regression analysis. By using linear transformations that convert a set of variables associated with a high link to a set of new independent variables and unrelated with each other, which are called, the components. These components are orthogonal and independent from each other.

The method of partial least squares PLS is failed in dealing with data that consist of the presence of Outliers values and hence the success of this method depends on the absence of such outliers values that have undesirable effect on the results. In order to reduce the presence of these values, we resorted to use the robust methods.

In this research a method of PLSKURSD that applied SIMPLS algorithms on variance-covariance robust matrix. Also the proposed method MPLSKURSD are used which is a modified method to the PLSKURSD method. parameters  linear regression model by partial least squares(PLS) is compared with modalities robust partial least squares through the simulation experiments depends on the presence of several types of outlier values of data for different rates of pollution, volumes of samples, and variables dimensions

 

Crossref
View Publication Preview PDF
Quick Preview PDF
Publication Date
Sun Oct 30 2022
Journal Name
Iraqi Journal Of Science
Heterocyclic Synthesis of Some New Isoxazolidine Derivatives via 1,3-Dipolar Cycloaddition of Nitrones to Styrene
...Show More Authors

     A number of nitrones have been synthesized in three different procedures, starting with N-phenyl hydroxylamine, followed by the condensation reaction with some selected aldehydes. Furthermore, these nitrones were employed in the preparation of a number of new isoxazolidines. Cycloaddition reaction of nitrones to styrene produced the desired products.

View Publication Preview PDF
Scopus (3)
Crossref (2)
Scopus Crossref
Publication Date
Sat Jan 12 2019
Journal Name
Journal Of The College Of Education For Women
STUDY THE CHARACATERISTIC OF SOILS TO DETERMINE SOME TYPES OF LANDS DEGRADATION FOR MAHMUDIYA DISTRICT
...Show More Authors

This study comprised three traverses extending parallel through the Northern, Central and Southern Mahmudiya districts, and perpendicular to the course of the Euphrates River. They were identified to collect (15) soil samples and some water samples as distributed within the land cover classes of the study area. Those classes were determined by visual interpretation and supervised classification for Landsat (TM) images obtained in August/2007. The digital classification was based on Maximum Likelihood method using six spectral bands excluding the thermal band. Chemical and physical laboratory analysis for the soil characteristics was performed to determine the types of land degradation in the study area.
The results showed that the hig

... Show More
View Publication Preview PDF
Publication Date
Wed Aug 16 2017
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Mass Spectrometric Determination OF Radioactive Decay OF 87Rb TO 87Sr IN Some Iraqi Geological Minerals
...Show More Authors

Determination of isotopic composition of strontium and Rubidium in some geological samples was performed by using thermal ionization mass spectrometry. The optimum evaporation and ionization currents were determined for each of strontium and Rubidium, employing double rhenium filament by using faraday cup as detector. The results were compared  with  reference  mater ials (NBS Standards) of Sr and Rb. The

radioactive decay of 87Rb to 87Sr was also determined.

View Publication Preview PDF
Publication Date
Mon Oct 01 2018
Journal Name
Journal Of Engineering
The Response of Some Properties of (Al-Si-Mg) Alloy to Nano-Ceramic Materials’ Addition
...Show More Authors

Al-Si alloys which are widely used in engineering applications due to their outstanding properties can be modified for more enhancements in their properties. Current work investigated the ability of these alloys to be modified by casting them through the addition of nanoparticles. So, Multi-wall carbon nanotubes (CNT) and titanium carbide ceramic particles (TIC) with size of (20 nm) were added with different amounts started from (0.5 up to 3%) weight  to cast alloy A356 that was considered to be the base metal matrix, then stirred with different speeds of (270, 800, 1500, 2150) rpm at 520 °C for one minute. The results showed change in microstructure’ shape of the casted alloys from the dendritic to spherical gra

... Show More
View Publication Preview PDF
Crossref
Publication Date
Mon Jan 20 2020
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
The Continuous Classical Optimal Control Problems for Triple Elliptic Partial Differential Equations
...Show More Authors

In this paper the Galerkin method is used to prove the existence and uniqueness theorem for the solution of the state vector of the triple linear elliptic partial differential equations for fixed continuous classical optimal control vector. Also, the existence theorem of a continuous classical optimal control vector related with the triple linear equations of elliptic types is proved. The existence of a unique solution for the triple adjoint equations related with the considered triple of the state equations is studied. The Fréchet derivative of the cost function is derived. Finally the theorem of necessary conditions for optimality of the considered problem is proved.

View Publication Preview PDF
Crossref (2)
Crossref
Publication Date
Wed Oct 31 2018
Journal Name
Iraqi Journal Of Science
The Study the correlation between Human Chorionic Gonadotropin Hormone and Some Biochemical Parameters in Iraqi Women with Pregnancy-Induced Hypertension
...Show More Authors

Pregnancy-induced hypertension (PIH) is a major pregnancy complication that causes pregnant women mortality. Here, we had scrutinized the correlation between serum levels of -hCG and biochemical parameters in PIH. Serum samples were collected from eighty Iraqi women (forty women with pregnancy-induced hypertension as patients group, twenty normotensive pregnant women as a positive control, and twenty normotensive non-pregnant women as a negative control) all groups were diagnosed clinically. All -hCG hormone level was measured for all studied groups, also serum uric acid, albumin, and total protein levels were measured as biochemical parameters. Data analysis showed that serum level of -hCG hormone was significant increase (p≤

... Show More
View Publication Preview PDF
Publication Date
Fri Dec 01 2017
Journal Name
Journal Of Economics And Administrative Sciences
Multi – Linear in Multiple Nonparametric Regression , Detection and Treatment Using Simulation
...Show More Authors

             It is the regression analysis is the foundation stone of knowledge of statistics , which mostly depends on the ordinary least square method , but as is well known that the way the above mentioned her several conditions to operate accurately and the results can be unreliable , add to that the lack of certain conditions make it impossible to complete the work and analysis method and among those conditions are the multi-co linearity problem , and we are in the process of detected that problem between the independent variables using farrar –glauber test , in addition to the requirement linearity data and the lack of the condition last has been resorting to the

... Show More
View Publication Preview PDF
Crossref
Publication Date
Mon Oct 30 2023
Journal Name
Iraqi Journal Of Science
SMS Spam Detection Using Multiple Linear Regression and Extreme Learning Machines
...Show More Authors

     With the growth of the use mobile phones, people have become increasingly interested in using Short Message Services (SMS) as the most suitable communications service. The popularity of SMS has also given rise to SMS spam, which refers to any unwanted message sent to a mobile phone as a text. Spam may cause many problems, such as traffic bottlenecks or stealing important users' information. This paper,  presents a new model that extracts seven features from each message before applying a Multiple Linear Regression (MLR) to assign a weight to each of the extracted features. The message features are fed into the Extreme Learning Machine (ELM) to determine whether they are spam or ham. To evaluate the proposed model, the UCI bench

... Show More
View Publication Preview PDF
Scopus (1)
Crossref (1)
Scopus Crossref
Publication Date
Sat May 01 2021
Journal Name
Journal Of Physics: Conference Series
Regression shrinkage and selection variables via an adaptive elastic net model
...Show More Authors
Abstract<p>In this paper, a new method of selection variables is presented to select some essential variables from large datasets. The new model is a modified version of the Elastic Net model. The modified Elastic Net variable selection model has been summarized in an algorithm. It is applied for Leukemia dataset that has 3051 variables (genes) and 72 samples. In reality, working with this kind of dataset is not accessible due to its large size. The modified model is compared to some standard variable selection methods. Perfect classification is achieved by applying the modified Elastic Net model because it has the best performance. All the calculations that have been done for this paper are in </p> ... Show More
View Publication
Scopus (4)
Crossref (3)
Scopus Crossref
Publication Date
Tue May 30 2023
Journal Name
Iraqi Journal Of Science
Crude Oil Price Forecasts Using Support Vector Regression and Technical Indicators
...Show More Authors

Oil price forecasting has captured the attention of both researchers and academics because of the unique characteristics of crude oil prices and how they have a big impact on a lot of different parts of the economic value of the product. As a result, most academics use a lot of different ways to predict the future. On the other hand, researchers have a hard time because crude oil prices are very unpredictable and can be affected by many different things. This study uses support vector regression (SVR) with technical indicators as a feature to improve the prediction of the monthly West Texas Intermediate (WTI) price of crude oil. The root mean square error (RMSE), mean absolute error (MAE), and mean absolute percentage error (MAPE) measur

... Show More
View Publication Preview PDF
Scopus (1)
Scopus Crossref