关注
Abbas Najim Salman
Abbas Najim Salman
其他姓名.Abbas N.S
University of Baghdad,Education College (Ibn Al-Haitham)-Mathematics Department
在 ihcoedu.uobaghdad.edu.iq 的电子邮件经过验证
标题
引用次数
引用次数
年份
On Thompson type estimators for the mean of normal distribution
ANS al
REVISTA INVESTIGACIÓN OPERACIONAL JOURNAL 30 (2), 109-116, 2009
33*2009
On estimation of in cased inverse Kumaraswamy distribution
BA Hameed, AN Salman, BA Kalaf
Iraqi Journal of Science 61 (4), 845-853, 2020
292020
Pre-Test Single and Double Stage Shrunken Estimators for the Mean of Normal Distribution with Known Variance
AN Salman
Baghdad Science Journal 7 (4), 1432-1441, 2010
212010
Single and Double Stage Shrinkage Estimators for the Normal Mean with the Variance Cases
ANSAHAMDSMA Mohammed
International Journal of Statistics 38 (2), 1127 -1134, 2014
20*2014
On estimation of the stress–strength reliability based on lomax distribution
AN Salman, AM Hamad
IOP Conference Series: Materials Science and Engineering 571 (1), 012038, 2019
112019
Estimate the Shape Parameter of Generalize Rayleigh Distribution Using Bayesian – Shrinkage Technique
ANS Ameen
International Journal of Innovative Science, Engineering & Technology 2 …, 2015
102015
A class of efficient and modified testimators for the mean of normal distribution using complete data
ANS al
Int.J.Data Analysis Techniques and Strategies 3 (4), 406-425, 2011
92011
Comparison of some of estimation methods of stress-strength model: R= p (y< x< z)
SH Raheem, BA Kalaf, AN Salman
Baghdad Science Journal 18 (2 (Suppl.)), 1103-1103, 2021
82021
A Comparison for Some of the estimation methods of the Parallel Stress-Strength model In the case of Inverse Rayleigh Distribution
SH Raheem, HK Mansor, BA Kalaf, AN Salman
2019 First International Conference of Computer and Applied Sciences (CAS …, 2019
82019
On Shrinkage Estimation for R (s, k) in Case of Exponentiated Pareto Distribution
EA Abdulateef, AN Salman
Ibn AL-Haitham Journal for Pure and Applied Science 32 (1), 147-156, 2019
82019
Estimate the Scale Parameter of Exponential Distribution Via Modified Two Stage shrinkage technique
A.N. AL- Joboori, B.A.khalaf,S. Hamza
Journal of Education College, AL-Mustan. University 6, 62-76, 2011
8*2011
An efficient shrinkage estimators for generalized inverse rayleigh distribution based on bounded and series stress-strength models
IG Jebur, BA Kalaf, AN Salman
Journal of Physics: Conference Series 1897 (1), 012054, 2021
72021
Preliminary test shrinkage estimators for the shape parameter of generalized exponential distribution
AS Salman, RA Hadi
International Journal of Applied Mathematical Research 5 (4), 162-166, 2016
62016
Preliminary test single stage shrinkage estimator for the scale parameter of gamma distribution
AS Salman, AH Ali, MD Salman
American Journal of Mathematics and Statistics 4 (3), 131-136, 2014
62014
Estimation of the reliability system in model of stress- strength according to distribution of inverse Rayleigh
ANS Bayda Atiya Kalaf 1 , Sairan Hamza Raheem 2
Periodicals of Engineering and Natural Sciences 9 (No. 2), pp.524-533, 2021
52021
Pretest Single Stage Shrinkage Estimator for the Shape Parameter of the Power Function Distribution
AEAN Abbas Najim Salman , Alaa M. Hamad
International Journal of Mathematics Trends and Technology (IJMTT) 36 (No. 1 …, 2016
42016
Bayesian Shrinkage Estimator for the Scale Parameter of Exponential Distribution under Improper Prior Distribution
AN Salman, RA Shareef
International Journal of Statistics and Applications 4 (3), 135-143, 2014
42014
Modified Single Stage Testimators of The Mean of Normal Population
ZA al-Hemyari . Abbas Najim Salman
Al- Fath J. of the College of Education for Pure Sci. and Humanities. 3 (5), 1999
4*1999
Employ shrinkage technique during estimate normal distribution mean
AI Abdul-Nabi, AN Salman, MM Ameen
Journal of Interdisciplinary Mathematics 24 (6), 1685-1692, 2021
32021
On Bayesian Estimation of System Reliability in Stress–Strength Model Based on Generalized Inverse Rayleigh Distribution
IG Jebur, BA Kalaf, AN Salman
IOP Conference Series: Materials Science and Engineering 871 (1), 012053, 2020
32020
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