Reza Arabi (0000-0002-6989-9267)

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Biography

R Arabi got his PH.D (in 2014) form Ferdowsi University of Mashhad . He also was visitor scholar of Prof. N. Balakrishnan at McMaster university for one year during his PH.D program. His research areas are Statistical Inference (estimation and prediction) in order Statistics such as censored data, record data and reliability and survival analysis. He is recently interested in regression in high dimensional data and also optimal design of experiments.
He has various publication in International Journals such as Statistical Papers, Journal of Statistical Computation and Simulation, communication in statistics, computational statistics .... He is also the reviewer of the some of this journals.

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University of Tabriz: Tabriz, East Azerbaijan, IR

Employment

Reza Arabi

https://orcid.org/0000-0002-6989-9267

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Biography

Activities

Employment (2)

University of Tabriz: Tabriz, East Azerbaijan, IR

McMaster University: Hamilton, ON, CA

Education and qualifications (3)

University of Windsor: Windsor, Ontario, CA

University of Tehran: Tehran, Tehran, IR

Ferdowsi University of Mashhad: Mashhad, IR

Professional activities (2)

Mugla Sitki Kocman Universitesi Kutuphanesi: Mugla, Muğla, TR

Iranian Statistical Society: Tehran, Tehran, IR

Works (18)

Efficient Post-Shrinkage Estimation Strategies in High-Dimensional Cox’s Proportional Hazards Models

Penalized and ridge-type shrinkage estimators in Poisson regression model

Improved estimators for stress-strength reliability using record ranked set sampling scheme

Stein‐type shrinkage estimators in gamma regression model with application to prostate cancer data

Estimation and prediction using classical and Bayesian approaches for Burr III model under progressive type-I hybrid censoring

Ridge-type shrinkage estimators in generalized linear models with an application to prostate cancer data

Classical and Bayesian inference for Burr type-III distribution based on progressive type-II hybrid censored data

Estimation based on progressively type-I hybrid censored data from the Burr XII distribution

Estimation and Prediction for the Poisson-Exponential Distribution Based on Type-II Censored Data

Improved point and interval estimation of the stress–strength reliability based on ranked set sampling

Classical and Bayesian inferential approaches using Lomax model under progressively type-I hybrid censoring

Joint records from two exponential populations and associated inference

On estimating the parameters of the Burr XII model under progressive type-I interval censoring

On Burr XII Distribution Analysis Under Progressive Type-II Hybrid Censored Data

On the estimation of the extreme value and normal distribution parameters based on progressive type-II hybrid-censored data

Improved estimators of the distribution function based on lower record values

On the Construction of Preliminary Test Estimator Based on Record Values for the Burr XII Model

Improved confidence intervals for the scale parameter of Burr XII model based on record values

Peer review (2 reviews for 2 publications/grants)