Working at University of Baghdad/ Collage of Administration and Economics since 1993/9/19.
Ph. D. (Statistics), since 2010/8/12
Publishing 3 books
Bachelor of Statistics (1988) Master of Science in Statistics (1999) Ph.D. in Statistics (2010)
Official of Planning and Coordination Unit at College of Administration and Economics/ University of Baghdad for the period (2003-2005)
Statistics
Courses which I teach for undergraduate study: Programming Using Basic, Quantitative Methods, Time Series Analysis & Index Numbers, Statistics , Mathematics
Course which I teach for postgraduate study: Survival Analysis for Master of Science in Actuarial Statistics
Published Books:
Calculus I )
Calculus II
Multivariate 
اختيار افضل انموذج للتنبؤ بعدد الأسر المشمولة بإعانات شبكة الحماية الاجتماعية في العراق
زينب احمد عباس
2015
بحث دبلوم عالي في الإحصاء التطبيقي
"قياس الفقر متعدد الابعاد في العراق باستعمال مؤشرات اكسفورد OPHI"
حمدي محسن عليوي
2016
بحث دبلوم عالي في الإحصاء التطبيقي
"تحديد اهم العوامل المؤثرة على معدلات النمو السكاني والتنبؤ به في العراق حسب مسح خارطة الفقر و وفيات الامهات لسنة 2013"
هديل فوزي محمد
2017
بحث دبلوم عالي في الإحصاء التطبيقي
"اختيار افضل انموذج للتنبؤ بعدد الحوادث المرورية في محافظات العراق الجنوبية"
حيدر عبد الحسين عباس
2019
بحث دبلوم عالي في الإحصاء التطبيقي
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 (as done in the first edition 2019). Chapter One introduces matrix algebra. Chapter Two devotes to Linear Equation System Solution with quadratic forms, Characteristic roots & vectors. Chapter Three discusses Partitioned Matrices and how to get Inverse, Jacobi and Hessian matrices. Chapter Four deals with Multivariate Normal Distribution (MVN). Chapter Five concern with Joint, Marginal and Conditional Normal Distribution, independency and correlations. While the revised new chapters have been added (as the curr
... Show MoreThis 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, Characteristic roots & vectors. Chapter Three discusses Partitioned Matrices and how to get Inverse, Jacobi and Hessian matrices. Chapter Four deals with Multivariate Normal Distribution (MVN). Chapter Five concern with Joint, Marginal and Conditional Normal Distribution, independency and correlations. Many solved examples are intended in this book, in addition to a variety of unsolved relied pro
... Show MoreThis book includes three main chapters: 1. Functions & Their Derivatives. 2. Minimum, Maximum and Inflection points. 3. Partial Derivative. In addition to many examples and exercises for the purpose of acquiring the student's ability to think correctly in solving mathematical questions.
This book includes four main chapters: 1. Indefinite Integral. 2. Methods of Integration. 3. Definite Integral. 4. Multiple Integral. In addition to many examples and exercises for the purpose of acquiring the student's ability to think correctly in solving mathematical questions.