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Farzad Eskandari
Farzad Eskandari
professor of Statistics and Data Science, Allameh Tabataba'i university
Verified email at atu.ac.ir
Title
Cited by
Cited by
Year
Drought forecasting by ANN, ANFIS, and SVM and comparison of the models
M Mokhtarzad, F Eskandari, N Jamshidi Vanjani, A Arabasadi
Environmental earth sciences 76, 1-10, 2017
1722017
Livestock insurance as a mechanism for household resilience of livestock herders to climate change: Evidence from Iran
T Biglari, H Maleksaeidi, F Eskandari, M Jalali
Land use policy 87, 104043, 2019
612019
Vegetable farmers' knowledge, attitude and drivers regarding untreated wastewater irrigation in developing countries: A case study in Iran
H Maleksaeidi, S Ranjbar, F Eskandari, M Jalali, M Keshavarz
Journal of Cleaner Production 202, 863-870, 2018
382018
Investigating entrepreneurial orientation and firm performance in the Iranian agricultural context
M Hosseini, F Eskandari
Journal of Agricultural Science and Technology 15 (2), 203-213, 2013
352013
Finding a set of candidate parents using dependency criterion for the K2 algorithm
VR Tabar, F Eskandari, S Salimi, H Zareifard
Pattern recognition letters 111, 23-29, 2018
272018
An extension of Banerjee and Rahim model in economic and economic statistical designs for multivariate quality characteristics under Burr XII distribution
AA Heydari, MB Moghadam, F Eskandari
Communications in Statistics-Theory and Methods 46 (16), 7855-7871, 2017
182017
The role of Iranian higher agricultural education system on entrepreneurial success of its graduates: Some policy implications for entrepreneurship education
M Hosseini, K Kalantari, F Eskandari
Amer-Euras. J. Agric. Environ. Sci 3 (3), 394-402, 2008
152008
Economic and economic statistical designs of-X control charts under Burr XII shock model
AA Heydari, MB Moghadam, F Eskandari
International Journal of Quality Engineering and Technology 6 (1-2), 1-19, 2016
132016
Effect of Educational and Institutional Factors on Rural Women Entrepreneurship (Case Study: Hamedan Province)
A Yaghoubi Farani, A Soleymani, R Movahedi, F Eskandari
Journal of Entrepreneurship Development 6 (2), 115-134, 2013
122013
Studying the surrogate validity of respiratory indexes in predicting the respiratory illnesses in wounded people exposed to sulfur mustard
B Kavehie, S Faghihzadeh, F Eskandari, A Kazemnejad, T Ghazanfari, ...
Journal of Arak University of Medical Sciences 13 (4), 75-82, 2011
112011
Empirical Bayes analysis of log-linear models for a generalized finite stationary Markov chain
F Eskandari, MR Meshkani
Metrika 59, 173-191, 2004
112004
Variable selection in finite mixture of semi-parametric regression models
E Ormoz, F Eskandari
Communications in Statistics-Theory and Methods 45 (3), 695-711, 2016
102016
Effects of drought stress and mycorrhizal fungi on some morphophysiological characteristics of lettuce (Lactuca sativa L.)
H Badvi, N Alemzade Ansari, M Mahmoodi Sorestani, F Eskandari
Plant Productions 38 (3), 27-39, 2015
82015
Farmers' satisfaction from installing intelligent flowmeter on underground water wells (the case of Mahidasht County, Kermanshah Province)
R Qobadpour, F Eskandari, M Jalali
Journal of Agricultural Economics and Development 32 (1), 43-55, 2018
72018
Influence of congruent-incongruent teaching and learning style on student performance (case: colleges of agriculture and natural resources of Kurdistan University)
F Skandari, M Salehi
Iranian Journal of Agricultural Economics and Development Research 40 (2), 2009
72009
Finite mixture of generalized semiparametric models: variable selection via penalized estimation
F Eskandari, E Ormoz
Communications in Statistics-Simulation and Computation 45 (10), 3744-3759, 2016
62016
Hierarchical Bayesian analysis of bivariate poisson regression model
S Khafrim, A Kazemnejad, F Eskandari
World Appl Sci J 4, 667-675, 2008
62008
Challenges threatening agricultural sustainability in the West of Iran: viewpoint of agricultural experts
H Maleksaeidi, M Jalali, F Eskandari
Sustainability 13 (6), 3537, 2021
52021
Calculating the required cash in bank branches: a Bayesian-data mining approach
G Baghbani, F Eskandari
Neural computing and applications 30, 2831-2841, 2018
52018
Drought forecasting by ANN, ANFIS, and SVM and comparison of the models. Environ Earth Sci 76: 729
M Mokhtarzad, F Eskandari, N Jamshidi Vanjani, A Arabasadi
52017
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Articles 1–20