| Wind turbine power curve modeling using advanced parametric and nonparametric methods S Shokrzadeh, MJ Jozani, E Bibeau IEEE Transactions on Sustainable Energy 5 (4), 1262-1269, 2014 | 253 | 2014 |
| Bayes estimation based on k-record data from a general class of distributions under balanced type loss functions J Ahmadi, MJ Jozani, É Marchand, A Parsian Journal of Statistical Planning and Inference 139 (3), 1180-1189, 2009 | 85 | 2009 |
| On estimation with weighted balanced-type loss function MJ Jozani, É Marchand, A Parsian Statistics & Probability Letters 76 (8), 773-780, 2006 | 75 | 2006 |
| Identification of vertebral fractures by convolutional neural networks to predict nonvertebral and hip fractures: a registry-based cohort study of dual X-ray absorptiometry S Derkatch, C Kirby, D Kimelman, MJ Jozani, JM Davidson, WD Leslie Radiology 293 (2), 405-411, 2019 | 62 | 2019 |
| Bayesian and Robust Bayesian analysis under a general class of balanced loss functions M Jafari Jozani, É Marchand, A Parsian Statistical Papers 53 (1), 51-60, 2012 | 60 | 2012 |
| Wind turbine power curve modeling for reliable power prediction using monotonic regression M Mehrjoo, MJ Jozani, M Pawlak Renewable Energy 147, 214-222, 2020 | 57 | 2020 |
| Prediction of k-records from a general class of distributions under balanced type loss functions J Ahmadi, M Jafari Jozani, É Marchand, A Parsian Metrika 70 (1), 19-33, 2009 | 52 | 2009 |
| Control charts for attributes with maxima nominated samples MJ Jozani, SJ Mirkamali Journal of Statistical Planning and Inference 141 (7), 2386-2398, 2011 | 46 | 2011 |
| Classification of simultaneous multiple partial discharge sources based on probabilistic interpretation using a two-step logistic regression algorithm H Janani, B Kordi, MJ Jozani IEEE Transactions on Dielectrics and Electrical Insulation 24 (1), 54-65, 2017 | 39 | 2017 |
| An admissible minimax estimator of a bounded scale-parameter in a subclass of the exponential family under scale-invariant squared-error loss MJ Jozani, N Nematollahi, K Shafie Statistics & probability letters 60 (4), 437-444, 2002 | 35 | 2002 |
| Design based estimation for ranked set sampling in finite populations M Jafari Jozani, BC Johnson Environmental and ecological statistics 18, 663-685, 2011 | 34 | 2011 |
| Improved attribute acceptance sampling plans based on maxima nomination sampling MJ Jozani, SJ Mirkamali Journal of Statistical Planning and Inference 140 (9), 2448-2460, 2010 | 34 | 2010 |
| A statistical algorithm for predicting the energy storage capacity for baseload wind power generation in the future electric grids S Shokrzadeh, MJ Jozani, E Bibeau, T Molinski Energy 89, 793-802, 2015 | 32 | 2015 |
| A comparison of regularized logistic regression and random forest machine learning models for daytime diagnosis of obstructive sleep apnea F Hajipour, MJ Jozani, Z Moussavi Medical & Biological Engineering & Computing 58, 2517-2529, 2020 | 29 | 2020 |
| Mixture model analysis of partially rank‐ordered set samples: age groups of fish from length‐frequency data A Hatefi, MJ Jozani, O Ozturk Scandinavian Journal of Statistics 42 (3), 848-871, 2015 | 29 | 2015 |
| Inclusion probabilities in partially rank ordered set sampling O Ozturk, MJ Jozani Computational Statistics & Data Analysis 69, 122-132, 2014 | 29 | 2014 |
| Randomized nomination sampling for finite populations M Jafari Jozani, BC Johnson Journal of Statistical Planning and Inference 142, 2103-2115, 2012 | 24 | 2012 |
| Machine learning for automated abdominal aortic calcification scoring of DXA vertebral fracture assessment images: a pilot study S Reid, JT Schousboe, D Kimelman, BA Monchka, MJ Jozani, WD Leslie Bone 148, 115943, 2021 | 20 | 2021 |
| On uncertainty and information properties of ranked set samples MJ Jozani, J Ahmadi Information Sciences 264, 291-301, 2014 | 20 | 2014 |
| Judgment post‐stratification in finite mixture modeling: An example in estimating the prevalence of osteoporosis S Omidvar, M Jafari Jozani, N Nematollahi Statistics in medicine 37 (30), 4823-4836, 2018 | 19 | 2018 |
Éric MarchandUniversité de Sherbrooke在 usherbrooke.ca 的电子邮件经过验证
