6 August، 2024
Master’s thesis by (Ahmed Abdulhadi Ahmed Jadoua)
Discussion of the master’s thesis in the College of Computer Science and Mathematics -Department of Statistics and Informatics Department entitled:
” Bais-reduced Maximum likelihood estimator for some mutiparameters statistical survival distributions”
In continuation of the scientific research movement and with the follow-up and presence of the Dean of the College of Computer Science and Mathematics
Respected Professor Dr. Duha Bashir Abdullah
Master’s thesis by (Ahmed Abdulhadi Ahmed Jadoua)
supervised by Professor Dr. Zakariya Yahya Algamal
This thesis includes (Bais-reduced Maximum likelihood estimator for some mutiparameters statistical survival distributions )
The study addressed Reducing the bias of the maximum potential estimator for the exponential alpha power distribution, the exponential smoothing distribution, and the generalized exponential Fregate-Weibull distribution, as two correction methods were used, namely the analytical correction method and the bootstrap method. The Monte Carlo simulation method was used to generate data that follows the three probability distributions depending on various factors such as the sample size, the values of the parameters of that distribution, and the number of bootstrap samples.
The study aims to review methods for reducing the bias of the maximum possible estimator, namely the analytical correction methods and the bootstrap method, and thus obtain unbiased or close to unbiased estimators for the parameters of probability distributions with two parameters and more than two parameters.
The discussion committee consists of
1- A.M. Dr. Rikan Abdulaziz Ahmed (Chairman)
2- A.M. Dr. Raya Salem Muhammad Ali (Member)
3- M.Dr. Safwan Nazim Rashid (Member)
4- Prof. Dr. Zakaria Yahya El-Gammal (member and supervisor)
