The Weibull distribution remains an indispensable tool in reliability engineering and lifetime analysis, offering flexibility for modelling diverse failure behaviours. Modern parameter estimation ...

Muhammad Sumair, Tauseef Aized, Syed Asad Raza Gardezi, Muhammad Mahmood Aslam Bhutta, Syed Ubaid ur Rehman, Syed Muhammad Sohail Rehman Energy Exploration & Exploitation, Vol. 39, No. 5 (September ...

Abstract: Gamma Mixture Model (GaMM) is a useful tool for representing complex distributions. However, estimating the parameters of GaMM faces challenges due to the lack of closed-form solution for ...

Abstract: Electromagnetic vector sensor (EMVS) arrays outperform scalar sensor arrays (SSAs) in accuracy and resolution due to polarization diversity, but come with increased computational burden, ...

Each estimation method is based on finding parameter estimates that minimize a badness-of-fit function that measures the difference between the observed sample covariance matrix and the predicted ...

heston-particle-filter-calibration/ ├── README.md ├── requirements.txt │ ├── heston/ # Main package │ ├── __init__.py │ ├── model.py # HestonModel and HestonSSM classes │ ├── estimation.py # PMMH, ...

The column labeled "Instruments" identifies the estimation methods that require instruments. The variables used in this table and the remainder of this chapter are defined as follows: n = is the ...