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45

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**Skills and Expertise**

## Publications

Publications (45)

The proposed method in this paper dealt with the problem of data contamination in the Cox Proportional Hazards Regression model (CPHRM) by using Wavelet Shrinkage to de-noise data, calculating the discrete wavelet transformation coefficients for wavelets (Symlets and Daubechies), and thresholding methods (Universal, Minimax, and SURE), as well as t...

In this paper, we suggest using the multivariate wavelet analysis in higher
dimensional space (Symlet, Daubechies' least-asymmetric wavelets) with
soft thresholding to de-noise of the data (Shrinkage) before use it in the
Discriminant Analysis to obtain more accurate and reliable results by
comparing it with the Discriminant analysis used on data b...

Time-series analyses of water consumption data are important for investigating the amount of water variation and predicting consumption change. Many applications have been done for estimating and predicting water consumption. In this paper, some statistical analysis methods such as Qais Mustafa Taha Hussein Ali العلوم الصرف ة Impact factor IS...

In this research, five new methods were proposed to estimate the ridge parameter by
inserting the conditional number, which are used to estimate the parameters of the ridge
regression model to treatment the problem of multicollinearity and then compare their
efficiency with some of the classical methods provided by several researchers based on some...

In this research the (Waveshrinkage) approach is used , to treat the Outliers Values during fitting The Simple Linear Regression Model by using some wavelets on the account of Discrete Wavelet Transformation (DWT) with one of the Threshold kinds To obtain a modified coefficients for (DWT) special dependent variable and depending on estimation of Li...

In this paper , the estimated linear models of Box-Jenkins has been compared from time series observations , before and after wavelet shrinkage filtering and then reducing the order of the estimated model from filtered observations (with preserving the accuracy and suitability of the estimated models) and re-compared with the estimated linear model...

The aim of this research to create the chart of (median and average) for quality control and the comparison between two charts through two types of data; first data represents the pressing power of ceramic tiles and protecting and the second data shows the pressing power of pipe concrete and carry around depending on the Statgraphics program.
The s...

This is an open access article under the CC BY 4.0 license http://creativecommons.org/licenses/by/4.0/) Using Bayes weights to remedy the heterogeneity problem of random error variance in linear models Abstract In this research, it was suggested to use the Informative Bayes method in calculating the Bayes weights and use them to treat the of hetero...

The data upon which charts of quality control were built through are the same as that of various data used in many other branches of statistics such as analysis regression and time series analysis ... etc, exposed to the pollution which may effect the accuracy of these chart, therefore, a researcher suggested to use a wavelet filter with threshold...

In this research weights , which are used , are estimated using General Least Square Estimation to estimate simple linear regression parameters when the depended variable , which is used , consists of two classes attributes variable depending on Sequential Bayesian Approach instead of the Classical approach used before , Bayes approach provides the...

This research deals with the process of estimating Logistic Model Parameters when the depended variable is variable attribute ( Dummy variable ) using Weighted Least Square ( WLS ) depending on the estimated weights estimated by Bayes Sequential Analysis Approach instead of the Classical Approach used by many researchers , which will provide the me...

This paper studies the Boisson process, precisely the number of arrivals (according to the
Boisson distribution) and inter - arrival times (according to the exponential distribution )
and arrival times (according to the gamma distribution) from the point view of bayes
statistics which is posterior in information, i.e., using the past experiences wh...

This paper deals with the proplems of contamination and
heteroscedasticity , by using a method (the Direct Wavelet Filter
that used which some method of thresholding) and comparing it
with some classical method of transformation in the complete
randomized design , through a Matlab code that perform the
filtering process , also SPSS was also used.

In this research, a solution of heteroscedastisity of the random error
variance is found in the Multiple Logistic Model when the response
variable (dependent) variable is Qualitative by using the method of
weighted least squares (WLS) to estimate the parameters of the Multiple
Logistic Model, which depends on the weights estimated Empirical Bayes
m...

In this research, A proposed method was used to shrink the
wavelet, in order to deals with the problem of noise (or contamination)
that may encounter the time series data, and trying to find the best
estimation for the parameters of the autoregressive model of order (p) by
getting the least possible value (best value) of the estimated statistical
c...

Quality control charts are used in controlling the quality characteristics produced
material, and making a suitable decision to the producing operation at each stage of
production. This can be fulfilled collecting a sample (observations) randomly selected of
the whole production. Quality control charts was demonstrated by shewart who used a
traditi...

In this research suggest the construction of quality control charts for parameters of simple linear regression and the mean squares error (Linear Profile Monitoring) depending on robust estimators (M-Estimator), which was estimated weights through a bi-square function and then compare them with the classical charts that depend on the method of ordi...

In this research weights, which are used, are estimated using General Least Square Estimation to estimate simple linear regression parameters when the depended variable, which is used, consists of two classes attributes variable (for Heteroscedastic problem) depending on Sequential Bayesian Approach instead of the Classical approach used before, Ba...

This paper deals with the proplems of contamination and
heteroscedasticity , by using a method (the Direct Wavelet Filter
that used which some method of thresholding) and comparing it
with some classical method of transformation in the complete
randomized design , through a Matlab code that perform the
filtering process , also SPSS was also used.

In this research weights , which are used , are estimated using General Least Square Estimation to estimate simple linear regression parameters when the depended variable , which is used , consists of two classes attributes variable depending on Sequential Bayesian Approach instead of the Classical approach used before , Bayes approach provides the...

In this research the (Waveshrinkage) approach is used , to treat the Outliers Values during fitting The Simple Linear Regression Model by using some wavelets on the account of Discrete Wavelet Transformation (DWT) with one of the Threshold kinds To obtain a modified coefficients for (DWT) special dependent variable and depending on estimation of Li...

This book has been prepared for the beginners to help them understand basic to advanced functionality of MATLAB. After completing this chapter 1 (Which included an explanation of the Matlab language) you will find yourself at a moderate level of expertise in using MATLAB from where you can take yourself to next levels.
On other side, I have long be...

Introduction This book has been prepared for the beginners to help them understand basic to advanced functionality of MATLAB. After completing this chapter 1 (Which included an explanation of the Matlab language) you will find yourself at a moderate level of expertise in using MATLAB from where you can take yourself to next levels. On other side, i...

This paper proposes a new improvement of the Nadaraya-Watson kernel non-parametric regression estimator and the bandwidth of this new improvement is obtained depending on universal threshold level with wavelet of kernel function instead of using fixed bandwidth and variable bandwidth for geometric, arithmetic mean, range and median measurements. A...

ABSRTACT: This paper proposes a new method that depends on the wavelet shrinkage and linking it to a Bayesian estimate and it is called wavelet Bayesian method for reducing the effect of contamination and then relying on the outputs of this method to estimate the multiple regression modelthrough using simulation experiment for several of data conta...

In this research, it was suggested to use the InformativeBayes method in calculating the Bayes weights and use them to treat the of heterogeneity problem when estimating the linear regression model parameters using the weighted least squares method (BWLS). And compare it with the classical method through an experimental side to simulate the generat...

This is an open access article under the CC BY 4.0 license http://creativecommons.org/licenses/by/4.0/) Using Bayes weights to remedy the heterogeneity problem of random error variance in linear models Abstract In this research, it was suggested to use the Informative Bayes method in calculating the Bayes weights and use them to treat the of hetero...

There are many statistical methods related to the forecasting of time series without any input variables such as autoregressive integrated moving average (ARIMA models). In this research, some linear dynamic systems, represented by ARIMA with exogenous input variables (ARIMAX models) were used to forecast crude oil prices (considered as output vari...

In this research, a new improvement of the Nadaraya-Watson kernel non parametric regression estimator is proposed and the bandwidth of this new improvement is obtained depending on the three different statistical indicators: robust mean, median and harmonic mean of kernel function instead of using geometric and arithmetic mean, or R. Simulation stu...

There are many statistical methods related to the forecasting of time series without any input variables such as autoregressive integrated moving average (ARIMA models). In this research, some linear dynamic systems, represented by ARIMA with exogenous input variables (ARIMAX models) were used to forecast crude oil prices (considered as output vari...

In this paper, construction of bivariate F-Control Chart through three stages (test of bivariate normal distribution, construction of bivariate S-Chart and use the relationship between the distribution of 2 T and F) corresponding for Shewart 2 T-Chart for quality control on measurable properties has been suggested. F-Chart is characterized by minim...

In this paper, we are used Bayesian on survival function estimator based on the mixed distribution of exponential distribution as primary distribution and Gama distribution as a function of probability of data, and the data was collected from Rizgari Hospital Erbil for stroke brain patients between 2015 and 2016. On the other hand, we compared with...

In this paper, five new methods were proposed to estimate the ridge parameter by inserting the conditional number, which are used to estimate the parameters of the ridge regression model to deal with multicollinearity problem and then compare their efficiency with some classical methods that was studied by several researchers based on Mean square e...

In this paper, the estimated linear model of Box-Jenkins such as ARMA(p,q) has been compared from time series observations ,before and after wavelet shrinkage filtering (used to solve the problem of contamination (or noise) if it found in the observations) and then reducing the order of the estimated model from filtered observations (with preservin...

In this paper, we are estimating Weights for parameters models of qualitative
regression using Weighted Least Square Method (WLS),which has estimate
through inverted variance of the distribution, by two Methods, first one (Classical
Method) and the second (Sequential Bayesian Method), when the depended
variable is binary variable, and the observati...

الملخص
تم في هذا البحث تقدير الأوزان المستخدمة في طريقة المربعات الصغرى الموزونة لتقدير معلمات الانحدار الخطي البسيط عندما يكون المتغير المعتمد متغيرا نوعيا ذا فئتين (الذي يؤدي إلى وجود مشكلة عدم تجانس تباين الخطأ العشوائي) باستخدام أسلوب بيز المتسلسل بدلا من الأسلوب الاعتيادي المستخدم سابقا , حيث أن أسلوب بيز المتسلسل يوفر آلية تناول المشاهدات الو...

This research deals with the process of estimating Logistic Model Parameters when the depended variable is variable attribute ( Dummy variable ) using Weighted Least Square ( WLS ) depending on the estimated weights estimated by Bayes Sequential Analysis Approach instead of the Classical Approach used by many researchers , which will provide the me...

## Projects

Projects (5)

In this research dealing with pollution in multivariate data used in the analysis path through the purification by an algorithm proposed based on multivariate wavelets (Daubechies, bior and rbio) and soft thresholding and estimate of level in a way (Minimax) and then compare them with the results path analysis before dealing with pollution through the practical application of analyzing the causes of a problem water pollution in the Kurdistan region, concluded research on the proposed algorithm is efficient compared with the classical method depending on the MATLAB language and program (SPSS) with (Amos).