Omar Abdulmohsin Ali- Professor
- Academic Staff at University of Baghdad
Omar Abdulmohsin Ali
- Professor
- Academic Staff at University of Baghdad
(ORCID: 0000-0003-0274-9325)
About
60
Publications
52,457
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78
Citations
Introduction
Omar Abdulmohsin Ali currently works at the College of Administration and Economics, University of Baghdad. I studied researches in Financial Economics, Econometrics and Statistics. I am now (1st March, 2022) Editor-in-chief of the journal of economics and administration siences (JEAS).
https://orcid.org/0000-0003-0274-9325
Current institution
Additional affiliations
January 2020 - present
March 2022 - present
Position
- Editor-in-Chief
Description
- - Head the editorial board of (JEAS). -Receive manuscripts that are submitted to the Journal of Economics and Administrative Sciences (JEAS) - College of administration and economics. - Plagiarism Check the submissions. - Editing the contents of these manuscripts and check them if they fit JEAS's template or not. - Send the manuscripts to double-blinded peer-reviewing. - Contribute to the Acceptance letter formulation. https://jeasiq.uobaghdad.edu.iq/index.php/JEASIQ/about/editorialTeam
July 2020 - February 2021
Position
- Editor
Description
- - Receive manuscripts that are submitted to the Journal of Economics and Administrative Sciences (JEAS) - College of administration and economics. - Plarigaisim Check the submissions. - Editing the contents of these manuscripts and check them if they fit JEAS's template or not. - Send the manuscripts to double-blinded peer-reviewing. - Contribute to the Acceptance letter formulation.
Education
September 2002 - July 2007
September 1996 - June 1999
September 1990 - June 1996
Publications
Publications (60)
This paper is specifically a detailed review of the Spatial Quantile Autoregressive (SARQR) model that refers to the incorporation of quantile regression models into spatial autoregressive models to facilitate an improved analysis of the characteristics of spatially dependent data. The relevance of SARQR is emphasized in most applications, includin...
This research aims to provide insight into the Spatial Autoregressive Quantile Regression model (SARQR), which is more general than the Spatial Autoregressive model (SAR) and Quantile Regression model (QR) by integrating aspects of both. Since Bayesian approaches may produce reliable estimates of parameter and overcome the problems that standard es...
Purpose: The research aims to estimate models representing phenomena that follow the logic of circular (angular) data, accounting for the 24-hour periodicity in measurement. Theoretical framework: The regression model is developed to account for the periodic nature of the circular scale, considering the periodicity in the dependent variable y, the...
Circular data (circular sightings) are periodic data and are measured on the unit's circle by radian or grades. They are fundamentally different from those linear data compatible with the mathematical representation of the usual linear regression model due to their cyclical nature. Circular data originate in a wide variety of fields of scientific,...
Grey system theory is regarded as a multidisciplinary scientific approach, which deals with systems that have partial information (such as: small samples). Grey modeling as a vital portion such theory that yields a sufficient results despite of limited amount of data. Grey Models can be divided into two types; univariate and multivariate grey model...
The first edition contained (Chapter one) that introduces matrix algebra: definition of the matrix, special types of matrices, the common mathematical operators, orthogonal and orthonormal matrices, and the inverse of a matrix. Chapter two concerning linear algebra: solving simultaneous linear equations and quadratic forms. Chapter three discusses...
In this paper, previous studies about Fuzzy regression had been presented. The fuzzy regression is a generalization of the traditional regression model that formulates a fuzzy environment's relationship to independent and dependent variables. All this can be introduced by non-parametric model, as well as a semi-parametric model. Moreover, results o...
In this paper, previous studies about Fuzzy regression had been presented. The fuzzy regression is a generalization of the traditional regression model that formulates a fuzzy environment's relationship to independent and dependent variables. All this can be introduced by non-parametric model, as well as a semi-parametric model. Moreover, results o...
Survival analysis is widely applied in data describing the life time of item until the occurrence of an event of interest such as death or another event of importance. The purpose of this paper is to use the dynamic approach in the neural network method, where in this method a dynamic neural network that suits the nature of discrete survival data a...
Survival analysis is widely applied to data that described by the length of time until the occurrence of an event under interest such as death or other important events. The purpose of this paper is to use the dynamic methodology which provides a flexible method, especially in the analysis of discrete survival time, to estimate the effect of covari...
The purpose of this paper is to model and forecast the white oil during the period (2012-2019) using volatility GARCH-class. After showing that squared returns of white oil have a significant long memory in the volatility, the return series based on fractional GARCH models are estimated and forecasted for the mean and volatility by quasi maximum li...
Survival analysis is one of the types of data analysis that describes the time period until the occurrence of an event of interest such as death or other events of importance in determining what will happen to the phenomenon studied. There may be more than one endpoint for the event, in which case it is called Competing risks. The purpose of this r...
The reason beyond this research is to investigate the long memory with volatility impact embedded in the daily fuel prices (Gasoline) via time-series behavior. Gasoline returns are assumed to follow ARMA-FIGARCH models. Here, a hybrid methodology is introduced in two main steps. Firstly, the results of the estimation of mean value have been achieve...
Segmented regression consists of several sections separated by different points of membership, showing the heterogeneity arising from the process of separating the segments within the research sample. This research is concerned with estimating the location of the change point between segments and estimating model parameters, and proposing a robust...
Regression Discontinuity (RD) means a study that exposes a definite group to the effect of a treatment. The uniqueness of this design lies in classifying the study population into two groups based on a specific threshold limit or regression point, and this point is determined in advance according to the terms of the study and its requirements. Thus...
The issue of penalized regression model has received considerable critical attention to variable selection. It plays an essential role in dealing with high dimensional data. Arctangent denoted by the Atan penalty has been used in both estimation and variable selection as an efficient method recently. However, the Atan penalty is very sensitive to o...
This book is intended to be a textbook studied for an undergraduate course in financial statistics/ department of Financial Sciences and Banking. This book is designed to be used in the semester system. To achieve the goals of the book, it is divided into the following chapters. Chapter one introduces the basic concepts. Chapter two devotes to freq...
The estimation of the regular regression model requires several assumptions to be satisfied such as "linearity". One problem occurs by partitioning the regression curve into two (or more) parts and then joining them by threshold point(s). This situation is regarded as a linearity violation of regression. Therefore, the multiphase regression model i...
Segmentation has vital employment in regression analysis where data have some change point. Traditional estimation methods such as Hudson, D.J.;(1966) and Muggeo, V. M., (2003) have been reviewed. But these methods do not take into account robustness in the presence of outliers values. However, third method was used as rank-based method, where the...
The aim of this research is to use robust technique by trimming, as the analysis of maximum likelihood (ML) often fails in the case of outliers in the studied phenomenon. Where the (MLE) will lose its advantages because of the bad influence caused by the Outliers. In order to address this problem, new statistical methods have been developed so as n...
These Lectures are intended to be read by undergraduate course in applied multivariate analysis. These are designed to be used in semester system. Lectures show variety of topics such as: matrices, Linear Equation System Solution with quadratic forms, Characteristic roots & vectors, Partitioned Matrices and how to get Inverse, Jacobi and Hessian ma...
Probability Distributions
This Book is intended to be textbook studied for undergraduate course in Probability Distributions. This book is structured to be used in semester system. In order to achieve the goals of the book, it is divided into the following chapters. Chapter One introduces Random variable, Discrete Random Variables, Probability Mas...
These are Lectures' summary concern the design and analysis of experiments. The design of experiments is useful to attempt to characterize the processes of science and technology. The grand aim is to develop a model which will describe adequately, that is, accurately, the past, present, and future of the universe. Obviously, if we are to describe t...
This Book is intended to be textbook studied for undergraduate course in mathematical statistics. This book is designed to be used in semester system. In order to achieve the goals of the book, it is divided into the following chapters. To achieve the goals of the book, it is divided into the following chapters. Chapter One introduces univariate di...
This Book is intended to be textbook studied for undergraduate course in multivariate analysis. This book is designed to be used in semester system. In order to achieve the goals of the book, it is divided into the following chapters. Chapter One introduces matrix algebra. Chapter Two devotes to Linear Equation System Solution with quadratic forms,...
The analysis of Least Squares: LS is often unsuccessful in the case of outliers in the studied phenomena. To address this problem, new statistical methods have been developed so that they are not easily affected by outliers. These methods are characterized by robustness or (resistance). The Least Trimmed Squares: LTS method was therefore a good alt...
"Introduction to Probability Theory"
This Book is intended to be textbook studied for undergraduate course in Probability Theory. This book is designed to be used in semester system. In order to achieve the goals of the book, it is divided into the following chapters. Chapter One introduces review, ordered pairs and product sets, some relations, V...
"Mathematical Statistics Part I"
This Book is intended to be textbook studied for undergraduate course in mathematical statistics. This book is designed to be used in semester system. In order to achieve the goals of the book, it is divided into the following chapters. Chapter One introduces events and probability review. Chapter Two devotes to ra...
لقد لاقت مواضيع استعمال التحليل الاحصاء المالي رواجاً كبيراً في الآونة الأخيرة سواء على مستوى الافراد والشركات العامة والخاصة مروراً بأسواق الاسهم والاوراق المالية (البورصات) وصولاً الى اقتصاديات الدول والبلدان. وذلك بعد وصول الباحثين والدارسين للظواهر الاقتصادية والمالية بكل أنماطها الى إدراك أهمية التحليل الكميّ عموماً والتحليل الاحصائي على وجه ا...
This research aim to overcome the problem of dimensionality by using the methods of non-linear regression, which reduces the root of the average square error (RMSE), and is called the method of projection pursuit regression (PPR), which is one of the methods for reducing dimensions that work to overcome the problem of dimensionality (curse of dimen...
أهمية الاهوار العراقية
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تُعدّ بيئة معدلّة للمناخ لأنها إحدى أكثر البيئات استهلاكاً لغاز ثنائي اوكسيد الكاربون.
قدرتها على التخزين والأحتفاظ بالمياه المتدفقة من نهري دجلة والفرات ومصبّات المدّ.
قابليتها على إزالة الملوّثات الضّارة من المياه بالتخلّص من المعادن والمواد العضوية حيث تحلّل ميكروبات التربة النفايات العضوية لتقلل من ضررها...
منصة "أريد" وتعني بالأنجليزية (Arab Research ID: ARID) وهو موقع غير ربحي يتيح للباحثين التسجيل فيه مجاناً لتسهيل البحث العلمي لكل ناطق باللغة العربية سواء من داخل العالم العربي أو خارجه. وتدعم منصة أريد ARID platform الباحثين لتوثيق مسيرتهم العلمية والبحثية وتسهيل البحث والأرشفة لهم، وتنظّم عملية البحث عن أسمائهم في جميع محركات البحث عبر رقم تعريف...
This research aims to study the methods of reduction of dimensions that overcome the problem curse of dimensionality when traditional methods fail to provide a good estimation of the parameters So this problem must be dealt with directly. Two methods were used to solve the problem of high dimensional data, The first method is the non-classical meth...
The need for detection and investigation of the causes of pollution of the marshes and submit a statistical study evaluated accurately and submitted to the competent authorities and to achieve this goal was used to analyze the factorial analysis and then obtained the results from this analysis from a sample selected from marsh water pollutants whic...
Gumbel distribution was dealt with great care by researchers and statisticians. There are traditional methods to estimate Gumbel's two parameters known as Maximum Likelihood, the Method of Moments and recently the method of re-sampling called (Jackknife). However, these methods suffer from some mathematical difficulties in solving them analytically...
ملخص الكتاب
أن صفة التغير المتسارع في نمط الحياة ولّد مبدأ اللايقين عند إتخاذ القرارات المالية لأي ظاهرة عموماً أو نشاط إقتصادي على وجه الخصوص. وهذا يتطلب الأستعانة بالأدوات الأحصائية كمنهج علمي يساعد في وصفها وتحليلها كمياً ومن ثم التنبؤ بها مستقبلاً كمحاولة لسبر غور اللايقين الذي يكتنف المستقبل كمجهول يتوجس منه الجميع. وقد أصبح متخذ القرار الأستث...
Fertility is one of the most important demographic components that directly affects the size and composition of the population in normal circumstances, while fertility affected the social and economic characteristics of both a woman's age at first marriage, and the use of family planning methods and others. Research on fertility is harder than disc...
These are As the dental researchers become more sophisticated in their statistical ability and knowledge to analyze data and to choose the most appropriate and powerful techniques from the vast array of modern biostatistical procedures, the dental practitioners will have to improve their quantitative skills, although didactically unrelated to their...
The analysis of survival and reliability considered of topics and methods of vital statistics at the present time because of their importance in the various demographical, medical, industrial and engineering fields. This research focused generate random data for samples from the probability distribution Generalized Gamma: GG, known as: "Inverse Tra...
In this research we been estimated the survival function for data suffer from the disturbances and confusion of Iraq Household Socio-Economic Survey: IHSES II 2012 , to data from a five-year age groups follow the distribution of the Generalized Gamma: GG. It had been used two methods for the purposes of estimating and fitting which is the way the P...
This book includes topics aspire to learn who want to use statistics, which has become at the present time a necessity for the countries' progress because of the close link between the statistics and planning, development and other sciences. One which tracks the science of statistics and its definitions confirmed his conclusion that the statistics...
The use of Bayesian approach has the promise of features indicative of regression analysis model classification tree to take advantage of the above information by, and ensemble trees for explanatory variables are all together and at every stage on the other. In addition to obtaining the subsequent information at each node in the construction of the...
It is often needed in demographic research to modern statistical tools are flexible and convenient to keep up with the type of data available in Iraq in terms of the passage of the country far from periods of war and economic sanctions and instability of the security for a period of time . So, This research aims to propose the use of style nonparam...
Often phenomena suffer from disturbances in their data as well as the difficulty of formulation, especially with a lack of clarity in the response, or the large number of essential differences plaguing the experimental units that have been taking this data from them. Thus emerged the need to include an estimation method implicit rating of these exp...
The research 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 and that includes all of them spatial dependence, which we can test its presence or not by usin...
A large number of researchers had attempted to identify the pattern of the functional relationship between fertility from a side and economic and social characteristics of the population from another, with the strength of effect of each. So, this research aims to monitor and analyze changes in the level of fertility temporally and spatially in rece...
Due to the lack of statistical researches in studying with existing (p) of Exogenous Input variables, and there contributed in time series phenomenon as a cause, yielding (q) of Output variables as a result in time series field, to form conceptual idea similar to the Classical Linear Regression that studies the relationship between dependent variab...
The goal beyond this Research is to review methods that used to estimate Logistic distribution parameters. An exact estimators method which is the Moment method, compared with other approximate estimators obtained essentially from White approach such as: OLS, Ridge, and Adjusted Ridge as a suggested one to be applied with this distribution. The Res...
The goal beyond this Research is to review methods that used to estimate Logistic distribution parameters. An exact estimators method which is the Moment method, compared with other approximate estimators obtained essentially from White approach such as: OLS, Ridge, and Adjusted Ridge as a suggested one to be applied with this distribution. The Res...
يتناول هذا البحث طريقة تقليص المركبات الرئيسة مشابهة لتلك المستعملة في الأنحدار المتعدد وهي طريقة "تقليص وأختيار أقل فروق مطلقة: LASS". والهدف هنا هو تكوين تراكيب خطية غير مرتبطة لمجموعة جزئية من المتغيرات التوضيحية والتي قد تعاني من مشكلة التعدد الخطي بدلاً عن أخذها جميعاً، (أي جميع الـ K) لتلك المتغيرات. أذ سيقوم هذا التقليص الجديد بتصفير (أي جعل...
Generalized Additive Model (GAM) has been considered as a multivariate smoother that appear recently in Nonparametric Regression Analysis to avoid falling in Curse of Dimensionality. We pay attention to the techniques of estimating GAM either by iterative or non-iterative approach in addition to suggested approach. Finally, we compare the three app...
This research deals with a shrinking method concerned with the principal components similar to that one which used in the multiple regression “Least Absolute Shrinkage and Selection: LASS”. The goal here is to make an uncorrelated linear combinations from only a subset of explanatory variables that may have a multicollinearity problem instead takin...
Generalized Additive Model has been considered as a multivariate smoother that appeared recently in Nonparametric Regression Analysis. Thus, this research is devoted to study the mixed situation, i.e. for the phenomena that changes its behavior from linear ( with known functional form) represented in parametric part, to nonlinear (with unknown func...
Too many considerations have been made for the Nonparametric Regression, in the last years. The main reason of this is the researchers’ belief that pure parametric methods for estimating the regression curve have shortage with the flexibility needed for data analysis - especially the quantitive data -. With the progress made in computers, in both h...
This research aims to suggest formulas to estimate carry-over effects with two-period change-over design, and then, all other effects in the analysis of variance of this design, and find the efficiency of the two-period change-over design relative to another design (say, completely randomized design).
The goal of the research is to find the optimization in the test of the appropriate cross-over design for the experiment that the researcher is carrying out (under assumption that there are carry-over effects of the treatments) to posterior periods after the application period (which is often assumed to be the first period). The comparison between...
Questions
Questions (16)
For Discrete Uniform Distribution p.m.f. , it seems to have some confusion if we go to derive mean of the distribution via (M.G.F.) cause this will yield undetermined value (zero) / (zero).
Dear Scholars
With the recent publishing techniques of scientific research, starting from the authoring, preparation, editing, and publishing of research, that yielding a need to find an honest and reliable way to help us to obtain a solid evaluation of the submitted scientific research and check its originality. (Turnitin) is one of these ways. But, the question here is, how much is the acceptable percentage that can be determined for research submitted for publication in a certain journal (for example)?
Hi everyone,
At first, Happy new year for everybody.
In many matrix approaches in statistics, we need to obtain an eigenvalue(s) of the matrix under study from a statistical point of view. Sometimes, we need to measure some aspect (or representation) of the central tendency of the data, dispersion measurements, or correlation. Can we do that by getting the eigenvalue(s) only as a rapid statistical summarization? In other words, can we express (or relied on) the descriptive statistics in terms of the eigenvalue(s) only?
Consider the mathematical regression model: Y=a+bX+e , sometimes, the data exposed to outliers or violation. Can look at the above model as two parts; i.e.; Y=YL+YE, the first is linear regression representation YL=a+bX as an explained information effect, whereas the second is the error representation that we with to make it more homogenous and gain more explanation for the remaining information YE= m(e) ; (say; nonparametric smoothing function). Now, can we consider this approach as a new hybrid regression that extracts all potential information and then absorb them consequently instead of letting them embedded?
Many times our university instructs its professors to publish their articles and researches via journals which are Scopus indexed in order to rise the QS world ranking of their university. This manner brings lights scope to wondering: what the actual benefits should be gained by this kind of publishing ? and Why?
