Akram Mahmoudi

Doctoral Candidate Statistics
Statistics , Jönköping International Business School

Article

Mahmoudi, A., Arabi Belaghi, R., Mandal, S. (2020). A comparison of preliminary test, Stein-type and penalty estimators in gamma regression model Journal of Statistical Computation and Simulation, 90(17), 3051-3079. More information
Mandal, S., Arabi Belaghi, R., Mahmoudi, A., Aminnejad, M. (2019). Stein-type shrinkage estimators in gamma regression model with application to prostate cancer data Statistics in Medicine, 38(22), 4310-4322. More information

Doctoral thesis

Mahmoudi, A. (2024). Improving estimation precision through optimal designs and shrinkage methods (Doctoral thesis, Jönköping: Jönköping University, Jönköping International Business School). More information

Conference paper

Mahmoudi, A., Mandal, S. (2024). A comparative study of some gradient based and gradient free methods for constructing optimal approximate designs. 6th International Conference on Statistics: Theory and Applications (ICSTA 2024), August 19-21, 2024, Barcelona, Spain. More information
Mahmoudi, A., Arabi Belaghi, R. (2018). Shrinkage Estimators in Gamma Regression Model. 14th Iranian Statistics Conference (ISC14), 25-27 August 2018, Shahrood, Iran. More information

Other publications

Mahmoudi, A. . Penalty Estimators in High-Dimensional DEA with Application to Swedish Energy Markets Inspectorate Data. More information