• 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, TEACHING, or OTHER INTERESTS
Statistics and Probability, Tourism, Leisure and Hospitality Management
10
Scopus Publications
53
Scholar Citations
3
Scholar h-index
1
Scholar i10-index
Scopus Publications
Using Wavelet Estimation of the Weighted Exponential Regression Model Aseel Mahmood Shakir, Hala Kadhum Obead, Saifaldin Hashim Kamar Statistics Optimization and Information Computing, 2025 This paper aims to estimate the parameters of the weighted exponential regression model based on the methods of Maximum Likelihood, Jackknife, Wavelet, and Modified Jackknife method by Haar matrix to predict monthly mortality rates for leukemia patients in Iraq. We compared these methods by collecting samples from July 1, 2020, to February 18, 2023. Simulation was also used to generate three random samples with sizes of 8, 16, and 32 to represent the approved data using MATLAB program. The results indicated the following: The Modified Jackknife method by Haar matrix showed the smallest Mean Absolute Percentage Error compared to Maximum Likelihood, Jackknife, and Wavelet methods for the weighted exponential regression model. The results also showed the stability of the Modified Jackknife method by Haar matrix and the Wavelet method, whether by increasing or decreasing the sample size. That is, the specificity of both methods is not affected by the sample size. Regarding the real data results, the mortality rate from leukemia was forecast for eight months, which showed very low mortality rates that were close to zero.
PREDICTING MONKEYPOX INFECTION RATIOS USING BAYESIAN AND MAXIMUM LIKELIHOOD METHODS OF PANEL DATA: EMPLOYING THE WEIGHTED EXPONENTIAL REGRESSION MODEL Saifaldin H Kamar, Hala K Obead, Aseel N Sabti Journal of Statistical Research, 2025 This study employs advanced statistical techniques, namely Maximum Likelihood Estimation (MLE) and Bayesian inference, to estimate the parameters of a weighted exponential regression model for panel data, accounting for both fixed and random effects. The empirical analysis utilizes monkeypox incidence data from the Americas, Africa, and Europe over the period 2022–2023, complemented by simulated datasets of varying sample sizes (15, 30, 45, and 60) to thoroughly evaluate the model’s performance. A comparative analysis using the Mean Absolute Percentage Error (MAPE) criterion reveals that the Bayesian estimation method for random effects outperforms both the fixed effects model and the MLE approach for both fixed and random effects. Additionally, the model is used to forecast monthly infection rates over the next six months, with the Bayesian random effects model indicating a significant decline in infection rates, approaching near-zero values. This highlights the Bayesian framework’s ability to accurately capture and predict the dynamics of the weighted exponential regression model in panel data contexts involving random effects. Journal of Statistical Research 2025, Vol. 59, No. 2, pp. 167-181
Estimate the Parameters of the Weighted Exponential Regression Model for Panel Data Hala Kadhum Obead, Saifaldin Hashim Kamar, Basim Shlaibah Msallam Iraqi Journal of Science, 2024 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, Hassan S. Uraibi Journal of Physics Conference Series, 2021 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 Mathematics in Engineering Science and Aerospace, 2021
THE EFFECT AND ASSOCIATION OF MMP-9 SERUM LEVEL ON BOTH COLORECTAL AND GASTRIC CANCER IN IRAQI PATIENTS Biochemical and Cellular Archives, 2020
Comparative Study between Generalized Maximum Entropy and Bayes Methods to Estimate the Four Parameter Weibull Growth Model Saifaldin Hashim Kamar, Basim Shlaibah Msallam Journal of Probability and Statistics, 2020 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 Pakistan Journal of Statistics, 2019
RECENT SCHOLAR PUBLICATIONS
Using Wavelet Estimation of the Weighted Exponential Regression Model AM Shakir, HK Obead, SH Kamar Statistics, Optimization & Information Computing 15 (1), 176-186 , 2026 2026
Predicting monkeypox infection ratios using Bayesian and maximum likelihood methods of panel data: Employing the weighted exponential regression model SH Kamar, HK Obead, AN Sabti Journal of Statistical Research 59 (2), 167-181 , 2025 2025
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 2024 Citations: 2
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 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 2021 Citations: 2
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 2021 Citations: 2
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 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 2021 Citations: 33
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 2020
Investigating risk-return relationship: An empirical study in Iraq stock market AR Al-Hatem, SH Kamar, HA Alothman Periodicals of Engineering and Natural Sciences 8 (4) , 2020 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 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 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 2020 Citations: 9
BAYESAIN PROCEDURE MODIFIED BY FOURIER SERIES RESIDUAL TO FITTING THE LOGISITIC GROWTH MODEL SH Kamar Pakistan Journal of Statistics 35 (4), 301-313 , 2019 2019 Citations: 5
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 واسط للعوم الانسانية 15 (43), 73-88 , 2019 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 مجلة الدنانير 1 (13), 166-191 , 2018 2018
الإحصاء المالي عمر عبد المحسن علي، سيف الدين هاشم قمر، قصي حميد السلامي دار الوان للطباعة والنشر , 2018 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 2016
الأساليب الكمية للعلوم المالية والمصرفية سيف الدين هاشم قمر، قصي حميد السلامي دار الوان للطباعة والنشر , 2016 2016
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 2021 Citations: 33
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 2020 Citations: 9
BAYESAIN PROCEDURE MODIFIED BY FOURIER SERIES RESIDUAL TO FITTING THE LOGISITIC GROWTH MODEL SH Kamar Pakistan Journal of Statistics 35 (4), 301-313 , 2019 2019 Citations: 5
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 2024 Citations: 2
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 2021 Citations: 2
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 2021 Citations: 2
Using Wavelet Estimation of the Weighted Exponential Regression Model AM Shakir, HK Obead, SH Kamar Statistics, Optimization & Information Computing 15 (1), 176-186 , 2026 2026
Predicting monkeypox infection ratios using Bayesian and maximum likelihood methods of panel data: Employing the weighted exponential regression model SH Kamar, HK Obead, AN Sabti Journal of Statistical Research 59 (2), 167-181 , 2025 2025
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 2022
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 2021
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 2020
Investigating risk-return relationship: An empirical study in Iraq stock market AR Al-Hatem, SH Kamar, HA Alothman Periodicals of Engineering and Natural Sciences 8 (4) , 2020 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 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 2020
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 واسط للعوم الانسانية 15 (43), 73-88 , 2019 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 مجلة الدنانير 1 (13), 166-191 , 2018 2018
الإحصاء المالي عمر عبد المحسن علي، سيف الدين هاشم قمر، قصي حميد السلامي دار الوان للطباعة والنشر , 2018 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 2016
الأساليب الكمية للعلوم المالية والمصرفية سيف الدين هاشم قمر، قصي حميد السلامي دار الوان للطباعة والنشر , 2016 2016