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Akram Kohansal

Associate Professor

Update: 2026-01-07

Akram Kohansal (Faculty Member)

Faculty of Sciences / Statistics

Master Theses

  1. Parameters estimation of Weibull model using genetic algorithm
    Hashem Talamkhani 2025
  2. A comparison between machine learning models and survival analysis models on medical data
    Kimia Samavati 2025
  3. Survival Modeling in Biomedical Data: A Comparative Study of Weibull Regression and Machine Learning Approaches
    Mona Eslami 2025
  4. Investigating the performance of pension funds on the satisfaction of pensioners according to the mediating role of social security (case study: pension funds)
    Hossein Chini 2024
  5. Multi-component reliability analysis in modified Kumaraswamy distributions under Progressive censoring scheme
    Aynaz Parfalak 2023
  6. A study on the theory of the reliability in extended poisson family of life distribution
    Fateme sadat Mirsadooghi 2022
  7. Estimation of reliability parameter in modified Weibull distribution based on progressive censoring samples
    Fatemeh Khodadadi nejad 2021
  8. Multi-component stress-strength parameter estimation under the progressive censoring schemes in three-parameter Weibull distribution
    Atefeh Karam 2021
  9. Classical and Bayesian estimation of the stress-strength parameter in Lomax distribution
    2021
  10. Statistical inference on multicomponent stress-strength reliability parameter in asymmetric distributions
    Niloofar Aslfallah 2020