Bayesian estimation in the M/M/1 queueing model under a Type II censoring scheme based on fuzzy data

Author(s):

Iman Makhdoom * , Shahram Yaghoobzadeh Shahrastani

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
In this article‎, ‎the Bayesian estimation of the traffic intensity parameter for the M/M/1 queuing system is performed when it follows a beta prior distribution‎. ‎The analysis is conducted under the general entropy and linear exponential loss functions‎, ‎considering a Type II censoring scheme based on fuzzy data‎. ‎Furthermore‎, ‎the obtained estimators compared under these two loss functions using an extensive Monte Carlo simulation study‎. ‎A real-world data set is also utilized to determine the more appropriate estimator.
Keywords:

Entropy Loss Function , Fuzzy Data , Linear Exponential Loss Function , Traffic Intensity Parameter

Language:
English
Published:
Journal of Statistical Modelling: Theory and Applications, Volume:5 Issue: 1, Winter and Spring 2024
Pages:
131 to 143
https://www.magiran.com/p2829054  
سامانه نویسندگان
  • Yaghoobzadeh Shahrastani، Shahram
    Author (2)
    Yaghoobzadeh Shahrastani, Shahram
    Assistant Professor statistic, Payame Noor University, Tehran, Iran
اطلاعات نویسنده(گان) توسط ایشان ثبت و تکمیل شده‌است. برای مشاهده مشخصات و فهرست همه مطالب، صفحه رزومه را ببینید.
مقالات دیگری از این نویسنده (گان)