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Mowafaq Muhammed T. Al-kassab
Mowafaq Muhammed T. Al-kassab
Department of Mathematics Education, Tishk International University - Erbil, Kurdistan, IRAQ
Verified email at tiu.edu.iq - Homepage
Title
Cited by
Cited by
Year
A Monte Carlo Comparison Between Ridge and Principal Components Regression Methods
MMT Al-kassab
Applied Mathematical Sciences 3 (42), 2085-2098, 2009
292009
The use of one sample t-test in the real data
M Muhammed Al-Kassab
Journal of Advances in Mathematics 21, 2022
112022
Approximately Optimal Stratification Using Neyman Allocation
MMT Al-kassab
Tanmeat Alrafideen Journal 50, 31-37, 1997
71997
Approximately optimal stratification using Neyman Allocation
MMT Al-Kassab, H Al-Taay
Journal of Tanmiyat Al-Rafidain, 1994
71994
The effect of some macroeconomic variables on stock market movement in Iraq
AT Othman, MM Al-Kassab
Advances and Applications in Statistics 73, 1-16, 2022
62022
Using Linear Regression Analysis to Study the Recovery Cases of COVID 19 in Erbil, Kurdistan Region
Al-kassab MMT
Drugs and Cell Therapies in Hematology 10 (1), 1226-1239, 2021
52021
A MONTE CARLO COMPARISON BETWEEN LEAST SQUARES AND THE NEW RIDGE REGRESSION PARAMETERS
MMAKMQ Al-Awjar
Journal of Advances and Applications in Statistics 62 (1), 97-105, 2020
52020
A comparison between ridge and principal components regression methods using simulation technique
YMM Al-Hassan, MM Al-Kassab
Al Al-Bayt University, 2000
52000
Access to and Utilization of Information and Communication Technology by the Teaching Staff at Tishk International University
T Nurtayeva, M Muhammed Al-Kassab
Eurasian Journal of Science and Engineering 8 (1), 2022
42022
Performance of the New Ridge Regression Parameters
MQ Mowafaq Muhammed Al-Kassab1* and Al-Awjar2
Journal of Advances in Mathematics and Computer Science 34 (5), 1-9, 2019
4*2019
Investigating multicollinearity in factors affecting number of born children in Iraq
S Ibrahim, MM Al-Kassab, MQ Al-Awjar
International Conference on Mathematics and Computations, 81-91, 2022
32022
Application of Latent Roots Regression to Multicollinear Data
MMT Al-kassab
Journal of Advance Research in Computer Science and Engineering 2017 . 4 (1), 2017
32017
Two Approximate Methods for Bivariate Stratification
MMT Al-kassab
Tanmeat Alrafideen Journal 60, 155-167, 2000
3*2000
Two New Suggested Approximate Methods Useful in Bivariate Stratification
MMT Al-Kassab
Journal of Tanmiat Al-Rafidain 181, 155-167, 2000
32000
Use of Bivariate Regression Model in Stratified Sampling
MMT Al-Kassab, A Al-Hasso
Journal of Tanmiat Al-Rafidain 57, 143-151, 1999
31999
An Approximately Optimal Stratification Using Proportional Allocation
Al-kassab MMT
Tanmeat Alrafideen 41, 1993
31993
Factors affecting the achievement of demand in high school certificate examination in Erbil, KRG, Iraq
DW Waswa, MM Al-kassab, AA Alhasoo
AIP Conference Proceedings 2554 (1), 2023
22023
On The Effect Of Stratification When Two Stratifying Variables Are Used (A New Method), accepted in" Third Conference on Mathematical Sciences (CMS′ 2011)
MMT Al-Kassab, AR Al-Elemat
Zarqa University, April, 27-29, 2011
22011
A Comparison between Unbiased Ridge and Least Squares Regression Methods Using Simulation
OQ Al-Kassab, MMT and Qwaider
Journal of Modern Applied Statistical Methods 9 (2), 488-494, 2010
2*2010
Approximation method in finding optimum stratum depending on Neyman allocation applied on Beta distribution
RA Mahir, HAM Al-Khazaleh, TMM Al-Kassab
Proceedings of the 12th WSEAS International Conference on Applied …, 2007
22007
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