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Hossein Bevrani
Hossein Bevrani
Professor of Statistics, University of Tabriz
Verified email at tabrizu.ac.ir
Title
Cited by
Cited by
Year
Robust PID based power system stabiliser: Design and real-time implementation
H Bevrani, T Hiyama, H Bevrani
International Journal of Electrical Power & Energy Systems 33 (2), 179-188, 2011
1132011
Bilateral based robust load frequency control
H Bevrani, Y Mitani, K Tsuji, H Bevrani
Energy conversion and management 46 (7-8), 1129-1146, 2005
672005
Classical and Bayesian inferential approaches using Lomax model under progressively type-I hybrid censoring
MN Asl, RA Belaghi, H Bevrani
Journal of Computational and Applied Mathematics 343, 397-412, 2018
222018
A Confirmatory Factor Analysis of the Structure of Statistics Anxiety Measure: An examination of four alternative models
S Vahedi, F Farrokhi, H Bevrani
Iranian journal of psychiatry 6 (3), 92, 2011
212011
On Burr XII distribution analysis under progressive type-ii hybrid censored data
MN Asl, RA Belaghi, H Bevrani
Methodology and Computing in Applied Probability 19 (2), 665-683, 2017
192017
The Weibull-Rayleigh distribution, some properties, and applications
M Ganji, H Bevrani, N Hami Golzar, S Zabihi
Journal of Mathematical Sciences 218 (3), 269-277, 2016
162016
The Lomax-exponential distribution, some properties and applications
N Hami Golzar, M Ganji, H Bevrani
Journal of Statistical Research of Iran JSRI 13 (2), 131-153, 2017
132017
Penalized and ridge-type shrinkage estimators in Poisson regression model
M Noori Asl, H Bevrani, R Arabi Belaghi
Communications in Statistics-Simulation and Computation 51 (7), 4039-4056, 2022
102022
Ridge-type shrinkage estimators in generalized linear models with an application to prostate cancer data
M Nooi Asl, H Bevrani, R Arabi Belaghi, K Mansson
Statistical papers 62, 1043-1085, 2021
102021
A New Method for Generating Continuous Bivariate Distribution Families
M Ganji, H Bevrani, N Hami Golzar
Journal of The Iranian Statistical Society 17 (1), 109-129, 2018
102018
Estimation on Burr type III by progressive censoring using the EM and SEM algorithms
R Arabi Belaghi, F Valizadeh Gamchi, H Bevrani
13th Iranian Statistical Conference, Shahid Bahonar University of Kerman …, 2016
82016
Improving random forest algorithm by selecting appropriate penalized method
Z Farhadi, H Bevrani, MR Feizi-Derakhshi
Communications in Statistics-Simulation and Computation, 1-16, 2022
62022
Combining regularization and dropout techniques for deep convolutional neural network
Z Farhadi, H Bevrani, MR Feizi-Derakhshi
2022 global energy conference (GEC), 335-339, 2022
62022
Using shrinkage strategies to estimate fixed effects in zero-inflated negative binomial mixed model
Z Zandi, H Bevrani, R Arabi Belaghi
Communications in Statistics-Simulation and Computation 52 (7), 3201-3222, 2023
52023
James-Stein type estimators in beta regression model: simulation and application
S Seifollahi, H Bevrani
Hacettepe Journal of Mathematics and Statistics 52 (4), 1046 – 1065, 2023
52023
An ensemble framework to improve the accuracy of prediction using clustered random-forest and shrinkage methods
Z Farhadi, H Bevrani, MR Feizi-Derakhshi, W Kim, MF Ijaz
Applied Sciences 12 (20), 10608, 2022
52022
Bayesian estimation of discrete Burr distribution with two parameters
H Kamari, H Bevrani, K Kamary
arXiv preprint arXiv:1501.05876, 2015
52015
The analysis of the two parameter exponential distribution based on progressive type II censored data
RA Belaghi, H Bevrani, M MOHOMMADİ
Istatistik Journal of The Turkish Statistical Association 8 (1), 15-23, 2015
52015
Load frequency controller design in a deregulated environment using flexible neural networks
H Bevrani, M Teshnehlab, H Bevrani
15th International Power System Conference PSC, 1-6, 2000
52000
Improved shrinkage estimators in zero-inflated negative binomial regression model
Z Zandi, H Bevrani, R ARABİ
Hacettepe Journal of Mathematics and Statistics 50 (6), 1855-1876, 2021
32021
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Articles 1–20