Mahdi Teimouri Yanesari

Mahdi Teimouri is currently Assistant Professor of Statistics with Department of Statistics, Faculty of Science and Engineering at Gonbad Kavous University, Iran. He completed his studies at Shahid Bahonar University of Kerman (for BSc in Statistics in 2001, Iran) and Amirkabir University of Technology (for MSc and PhD in Statistics, respectively, in 2003 and 2017, Iran). He also was a postdoctoral fellowship at School of Mathematics and Statistics, Carleton University, Canada in 2020. His research interests mainly are focused on model-based clustering, mixture models, alpha-stable distribution, computational statistics, developing R packages, statistics in forestry, statistical signal processing, measurement error, Monte Carlo methods, and statistical inference (in the case of missing data, latent variables, and censored data).

ISI

1- Nadarajah , S . and Teimouri , M . (2012) . On the characteristic function for asymmetric exponential power distributions , Econometric Reviews , 31(4),475-481 .
2- Teimouri , M . and Nadarajah , S . (2012) . A simple estimator for the Weibull shape parameter, International Journal of Structural Stability and Dynamics , 12(2) , 395-402 .
3- Teimouri , M. , Hoseini , S . M . and Nadarajah , S . (2012) . Available and waiting times for cognitive radios, Wireless Personal Communications , 65 , 319-334 .
4- Teimouri , M . and Gupta , A . K . (2012) . Estimation Methods for the Gompertz-Makeham Distribution Under Progressively Type-I Interval Censoring Scheme , Natl . Acad . Sci . Lett. , 35(3) , 227-235 .
5- Teimouri , M. , Nadarajah , S . and Shih , S . H . (2012) . EM algorithms for beta kernel distributions, Journal ofStatistical computation and Simulation , 84(2) , 451-46 7 .
6- Teimouri , M. , Hoseini , S . M . and Nadarajah , S . (2013) . Comparison of estimation methods for the Weibull distribution , Statistics , 47(1) , 93-109 .
7- Teimouri , M . and Nadarajah , S . (2013) . On simulating Balakrishnan skew-normal variates, Computational Statistics and data Analysis, 57(1) , 52-58 .
8-Teimouri , M . and Nadarajah , S . (2013) . On simulating truncated stable variates , Computational Statistics, 28(5) , 2367 - 2377 .
9- Teimouri , M. , Hoseini , S . M . and Nadarajah , S. (2013). Ratios of Birnbaum-Saunders Random Variables, Quality Technology and Quantitative Management , 10 (4) ,457-481.

10-Teimouri , M . and Nadarajah , S . (2013) . Bias corrected MLEs for the Weibull distribution based on records, Statistical Methodology, 13 , 12 - 24 .
11- Nadarajah , S. , Teimouri , M . and Shih , S . H . (2014) . Modified beta distributions , Sankhya B , 76-B(1),19-4 8 .12-Nadarajah , S. , Teimouri , M . and Shih , S . H. (2014) . Characterizations of the Weibull and uniform distributions using record values , Brazilian Journal of Probability and Statistics , 28(2), 209-222 .
13-Teimouri , M . and Nadarajah , S. , (2014). Record-based estimators for Weibull distribution , International Journal of Structural Stability and Dynamics,14, doi.org/10.1142/S0219455414500266.
14-Teimouri , M. , Hoseini , S . M . and Nadarajah , S. , (2015). On the skewness parameter estimation of stable distributions , Markov Processes And Related Fields, 21(2), 369-380.
15-Teimouri , M . and Nadarajah , S . (2016) . Bias corrected MLEs under progressive type-II censoring scheme, Journal of Statistical Computation and Simulation,86(14),2714-2726.
16-Teimouri , M . and Nadarajah , S., (2016). Simulation of Balakrishnan skew-normal order statistics, Communications in Statistics - Theory and Methods, 45(11), 3310-3322.
17-Teimouri , M . and Nadarajah , S. (2017). On simulating truncated skewed Cauchy random variables, Communications in Statistics - Simulation and Computation, 46(2),1318-1321.
18-Teimouri , M. , Rezakhah , S. , and Mohammadpour , A. (2017), EM algorithm for symmetric stable mixture model, Hindawi Journal of Probability and Statistics, Communications in Statistics - Simulation and Computation, doi.org/10.1080/03610918.2017.1288244.
19-Teimouri , M. , Rezakhah , S. , and Mohammadpour , A. (2017), U-Statistic for Multivariate Stable Distributions, doi.org/10.1155/2017/3483827.
20-Teimouri , M. , Rezakhah , S. , and Mohammadpour , A. (2017), Parameter estimation using the EM algorithm for symmetric stable random variables and sub-Gaussian random vectors, accepted in Journal of Statistical Theory and Applications.

21- Teimouri, M. (2020), EM algorithm for mixture of skew-normal distributions fitted to grouped data, Journal Journal of Applied Statistics, Doi.org/10.1080/02664763.2020.1759032.

22- Teimouri, M. (2020). ForestFit: An R package for modeling plant size distributions, Environmental Modelling & Software, Volume 131, September 2020, 104668.

23- Teimouri, M. and Rafal Podlaski, R. (2020). Modeling tree diameters using mixtures of skewed Student’s t and related distributions, Canadian Journal of Forest Research, doi.org/10.1139/cjfr2020-0008. 

24- Teimouri, M. (2020). Bias corrected maximum likelihood estimators under progressive type-I interval censoring scheme, Communications in Statistics - Simulation and Computation, doi.org/10.1080/03610918.2020.1819320

Non-ISI

1- Teimouri‎, ‎M‎. ‎and Gupta‎, ‎A‎. ‎K‎. ‎(‎2012‎)‎. ‎On the Weibull record statistics and associated inferences‎, ‎STATISTICA‎, ‎72(2)‎, ‎145-162‎‎‎.

2- Farhangi‎, ‎M.‎, ‎Patimar‎, ‎R‎. ‎and Teimouri‎, ‎Y‎. ‎M‎. ‎(‎2012‎)‎. ‎Identification of Macro invertebrate (Benthos) in Mohammad Abad River‎, ‎Golestan‎, ‎Accepted in Iranian Journal of Biology‎.‎‎

3- Teimouri‎, ‎M‎. ‎and Gupta‎, ‎A‎. ‎K‎. ‎(‎201‎3‎‎)‎. ‎On the three-parameter Weibull distribution shape parameter estimation‎,‎‎‎ Journal of Data Science‎, 1‎1‎, 403-414‎‎‎‎.‎

4- Teimouri‎, ‎M‎. ‎(‎2020)‎. Maximum Likelihood Estimators for alpha-Stable Distribution,Journal of Statistical Sciences, 14(1), 73-94.

5- Teimouri, M., Abdolahnezhad K., and Ghalandarayeshi, Sh. (2020). Evaluation of estimation methods for parameters of the probability functions in tree diameter distribution modeling, Environmental Resources Research, 8(1), 25-40. 

6- Teimouri, M. and Quang V. Cao. (2020). Statistical inference for Birnbaum-Saunders and Weibull distributions fitted to grouped and ungrouped data, Environmental Resources Research, 8(2), 97-108. 

Conference Papers with Presentation 

1- A Novel Approach to Calculate Stable Densities, WCE 2008. (1-3 July 2008, Imperial College, London)

2- Role of order Statistics in Non-Gaussian Stable Distributions Inferences (7-10 August 2016, Hamiton, McMaster University, Canada)

Conference Papers without Presentation 

2-Mathematical Analysis of Primary Users Characteristics Effects on Cognitive Radios, ICACT 2010. (Second author, with S. M. Hosseini).

Packages in R:

1- alphastable: Inference for Stable Distribution

2- MPS: Estimating Through the Maximum Product Spacing Approach

MSc: Numericalo calculation of stable densities and distribution functions

PhD: Clustering of stable data

Author of book entitled, "Elementary Statistical Analysis"

Translator of book entitled "Probability and Statistics for Modern Engineering"

Translator of book entitled "Evolutionary Ecology of Plant-Plant Interactions: An empirical modelling approach"

Elementary Statistics, Statistical Concepts and Methods, Regression Analysis, Statistical Computations with Computer, Mathematical Software, Elementary Probability, Specialized Language