Akram Mahmoudi
Boards, committees etc.
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.
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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.
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Doctoral thesis
Mahmoudi, A.
(2024).
Improving estimation precision through optimal designs and shrinkage methods
(Doctoral thesis, Jönköping:
Jönköping University, Jönköping International Business School).
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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.
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Mahmoudi, A., Arabi Belaghi, R.
(2018).
Shrinkage Estimators in Gamma Regression Model.
14th Iranian Statistics Conference (ISC14), 25-27 August 2018, Shahrood, Iran.
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Other publications
Mahmoudi, A.
.
Penalty Estimators in High-Dimensional DEA with Application to Swedish Energy Markets Inspectorate Data.
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