Saifaldin Hashim Kamar

@aliraqia.edu.iq

Finance and Banking/ College of Administration and Economics
Al-Iraqia university



                    

https://researchid.co/ahmedamen57

EDUCATION

• Ph.D in Statistics, Faculty of Economics and Political Sciences, Omdurman Islamic University, Sudan, 2010.
• High Diploma in Computer application (Data Security), Institute of Higher Studies in Computer and Information, National Computer Center, Iraq, 1999.
• M.Sc. in Statistics, College of Administration and Economics, University of Baghdad, Iraq, 1998.
• B.Sc. in Statistics, College of Administration and Economics, University of Baghdad, Iraq, 1993.

RESEARCH INTERESTS

• Bayesian Methods
• Growth Curves.
• Linear and Non-Linear Models.
• Bio-statistics.
• Applied Statistics in psychological and educational sciences.
• Using advanced statistical methods in economic, financial, and administrative.

8

Scopus Publications

35

Scholar Citations

3

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • Estimate the Parameters of the Weighted Exponential Regression Model for Panel Data
    Hala Kadhum Obead, Saifaldin Hashim Kamar, and Basim Shlaibah Msallam
    University of Baghdad College of Science
    The parameters of the weighted exponential regression model for panel data are estimated using the maximum likelihood method which represents the aim of this paper. Weekly infection and recovery ratios of COVID-19 data are predicted, where the model is converted from its nonlinear into a linear state using the Taylor series. The novelty of this paper lies in dealing with nonlinear panel data. Furthermore, the panel data of the model are tested to determine whether the data follows fixed or random effects by the Hausman test, as well as the exclusion of the pooled effects because the model does not include the intercept term. The simulation is depended on the generated data to compare the fixed and random effects models for different sample sizes (5, 10, 20, 30). COVID-19 data is used for three Iraqi governorates to represent the panel data model. Three months ,May, June, and July of 2022 are taken to represent the research sample and then predict the ratios of infection and recovery for the next three months. Depending on the Bayesian Information Criterion (BIC) and Akaike's Information Criterion (AIC), the random effects of the weighted exponential regression give better results than the fixed effects. Depending on this, we predict the weekly infection ratios of COVID-19 in Iraq that will decrease during the next ten weeks.

  • Ordinary Least Squares based on Fourier Series Residuals for fitting the Modified Exponential Growth Model
    Saifaldin Hashim Kamar, Basim Shlaibah Msallam, and Hassan S. Uraibi
    IOP Publishing
    It is well-known that grey system theory was put forward in the statistical literature to overcome the problem of partially unknown parameters, therefore it is given the attention of the researchers in many scientific areas. Therefore, many methods have been presented in which the grey system is combined with the Fourier series and others for more accurate prediction. This paper presents a methodology to modify the method of least squares based on Fourier series residuals that are computed by using grey system theory. The objective of this methodology is to improve the estimates of a modified exponential growth model. The performance of the proposed method by using simulation is compared with two famous methods and the results show our proposed method outperforms more than others and it is highly efficient and reliable. On the practical, the new method was used to predict the price of a barrel of crude oil for the OPEC basket for the period from Jul 2019 to Dec 2019, and It can be seen that OPEC basket prices will decline in the end of 2019.

  • Combine maximum entropy with Fourier series residual to estimate the modified exponential growth model



  • THE EFFECT AND ASSOCIATION OF MMP-9 SERUM LEVEL ON BOTH COLORECTAL AND GASTRIC CANCER IN IRAQI PATIENTS



  • Comparative Study between Generalized Maximum Entropy and Bayes Methods to Estimate the Four Parameter Weibull Growth Model
    Saifaldin Hashim Kamar and Basim Shlaibah Msallam
    Hindawi Limited
    The Weibull growth model is an important model especially for describing the growth instability; therefore, in this paper, three methods, namely, generalized maximum entropy, Bayes, and maximum a posteriori, for estimating the four parameter Weibull growth model have been presented and compared. To achieve this aim, it is necessary to use a simulation technique to generate the samples and perform the required comparisons, using varying sample sizes (10, 12, 15, 20, 25, and 30) and models depending on the standard deviation (0.5). It has been shown from the computational results that the Bayes method gives the best estimates.

  • Bayesian procedure modified by fourier series residual to fitting the logistic growth model


RECENT SCHOLAR PUBLICATIONS

  • Estimate the Parameters of the Weighted Exponential Regression Model for Panel Data
    HK Obead, SH Kamar, BS Msallam
    Iraqi Journal of Science, 2703-2711 2024

  • Reliability analysis of Helmert model for Robust M-estimator
    HK Obead, AM Shakir, SH Kamar
    International Journal of Nonlinear Analysis and Applications 13 (2), 2565-2572 2022

  • Ordinary Least Squares based on Fourier Series Residuals for fitting the Modified Exponential Growth Model
    SH Kamar, BS Msallam, HS Uraibi
    Journal of Physics: Conference Series 1897 (2021), 1-11 2021

  • Combine maximum entropy with Fourier series residual to estimate the modified exponential growth model.
    SH Kamar, HK Obead, AM Shakir
    Mathematics in Engineering, Science & Aerospace (MESA) 12 (1) 2021

  • Study the Properties of Generalized Maximum Entropy through of Estimate the Four-Parameter Weibull Growth Model
    أ. م. د باسم شليبه مسلم, أ. م. د سيف الدين هاشم قمر
    JOURNAL OF ADMINISTRATION AND ECONOMICS 10 (39) 2021

  • The effect of sustainable dimensions on the financial performance of commercial banks: A comparative study in emerging markets
    OI Tawfik, SH Kamar, ZO Bilal
    The Journal of Asian Finance, Economics and Business 8 (3), 1121-1133 2021

  • Investigating risk-return relationship: An empirical study in Iraq stock market
    AR Al-Hatem, SH Kamar, HA Alothman
    Periodicals of Engineering and Natural Sciences (PEN) 8 (4), 2309-2318 2020

  • 使用哈尔矩阵拟合威布尔增长模型的修正熵估计
    BS Msallam, SH Kamar
    西南交通大学学报 55 (1) 2020

  • THE EFFECT AND ASSOCIATION OF MMP-9 SERUM LEVEL ON BOTH COLORECTAL AND GASTRIC CANCER IN IRAQI PATIENTS
    AR Abdullah, SY Abdulfattah, SH Kamar
    Biochemical and Cellular Archives 20 (2), 6609–6615 2020

  • The Role of MMP-3 Serum Level in both Colorectal and Gastric Cancer in Iraqi Patients
    AR ABDULLAH, SY ABDULFATTAH, SH KAMAR
    Journal of Research on the Lepidoptera 51 (2), 182-194 2020

  • Modified Entropy Estimator Using a Haar Matrix to Fit the Weibull Growth Model
    BS Msallam, SH Kamar
    Journal of Southwest Jiaotong University 55 (1) 2020

  • Comparative Study between Generalized Maximum Entropy and Bayes Methods to Estimate the Four Parameter Weibull Growth Model
    SH Kamar, BS Msallam
    Journal of Probability and Statistics 2020 2020

  • BAYESAIN PROCEDURE MODIFIED BY FOURIER SERIES RESIDUAL TO FITTING THE LOGISITIC GROWTH MODEL
    SH Kamar
    Pakistan Journal of Statistics 35 (4), 301-313 2019

  • دراسة مقارنة بين طريقة بيز وطريقة تعظيم دالة التوزيع اللاحق لتقدير معلمات إنموذج نمو ويبل ذو الأربع معلمات
    باسم شليبة مسلم: سيف الدين هاشم قمر
     2019

  • المؤشرات المالية المؤثرة على أداء الاسهم في سوق العراق للأوراق المالية للعام 2016 باستخدام أُنموذج الانحدار اللوجستي الثنائي
    افتخار محمد مناحي, سيف الدين هاشم قمر
     2018

  • الإحصاء المالي
    عمر عبد المحسن علي، سيف الدين هاشم قمر، قصي حميد السلامي
     2018

  • استخدام المحاكاة للمقارنة بين تقدير معلمات دالة توزيع ويبل حسب طريقة الإمكان الأعظم وطريقة بيز The use of a simulation for comparing among the estimations of parameters the
    سيف الدين هاشم قمر حسام نجم عبود
    ECONOMICS AND ADMINISTRATIVE STUDIES JOURNAL (formerly AL-DANANEER JOURNAL 2016

  • الأساليب الكمية للعلوم المالية والمصرفية
    سيف الدين هاشم قمر، قصي حميد السلامي
     2016

  • استخدام تقنية الإنموذج الرمادي في التخطيط الاستراتيجي لإنتاج محصول القمح في العراق للمدة (1980-2017)
    عماد محمد عبد الرحمن، سيف الدين هاشم قمر
     2016

  • Comparison between Nonlinear Least Squares Method and Other Numerical Methods for Estimation the Parameters of Logistic Growth Model
    SH Kamar
    Kut journal for the Economic and administrative Sciences 18 (I), 240-253 2015

MOST CITED SCHOLAR PUBLICATIONS

  • The effect of sustainable dimensions on the financial performance of commercial banks: A comparative study in emerging markets
    OI Tawfik, SH Kamar, ZO Bilal
    The Journal of Asian Finance, Economics and Business 8 (3), 1121-1133 2021
    Citations: 21

  • Comparative Study between Generalized Maximum Entropy and Bayes Methods to Estimate the Four Parameter Weibull Growth Model
    SH Kamar, BS Msallam
    Journal of Probability and Statistics 2020 2020
    Citations: 8

  • BAYESAIN PROCEDURE MODIFIED BY FOURIER SERIES RESIDUAL TO FITTING THE LOGISITIC GROWTH MODEL
    SH Kamar
    Pakistan Journal of Statistics 35 (4), 301-313 2019
    Citations: 5

  • Ordinary Least Squares based on Fourier Series Residuals for fitting the Modified Exponential Growth Model
    SH Kamar, BS Msallam, HS Uraibi
    Journal of Physics: Conference Series 1897 (2021), 1-11 2021
    Citations: 1