The Weibull distribution remains an indispensable tool in reliability engineering and lifetime analysis, offering flexibility for modelling diverse failure behaviours. Modern parameter estimation ...
Abstract: The majority of transformer model realizations used for power system transient simulations have some significant deficiencies, particularly related to the transformer core implementation.
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 ...
Inertial measurement units (IMUs) enable portable gait monitoring, yet their accuracy relies on precise event detection. Conventional algorithms using raw signal peaks often fail during running due to ...
The ARIMA procedure provides the identification, parameter estimation, and forecasting of autoregressive integrated moving average (Box-Jenkins) models, seasonal ARIMA models, transfer function models ...
Abstract: To realize three-dimensional (3-D) underdetermined parameter estimation for near-field (NF) sources by L-shaped nested arrays, two NF localization methods based on the exact spherical ...
This repository provides Python implementations of a comprehensive suite of modern, high-resolution parameter estimation algorithms for sinusoidal signals. It covers major algorithm families including ...
heston-particle-filter-calibration/ ├── README.md ├── requirements.txt │ ├── heston/ # Main package │ ├── __init__.py │ ├── model ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results