We consider a linear regression model with errors modelled by martingale difference sequences, which include heteroskedastic augmented GARCH processes. We develop asymptotic theory for two monitoring ...

Abstract This methodological article aims to present the type I Pareto distribution in a clear and illustrative manner for better understanding among social researchers. It also provides R scripts for ...

This is the first study that uniquely compares the performance of 5 pretest probability (PTP) models: local assessment of the heart, Coronary Artery Disease Consortium, risk factor‐weighted clinical ...

Using Probability Models to Design the Microstructure of Linear Olefin Block Copolymers Journal: Macromolecules Published: 2024-06-17 DOI: 10.1021/acs.macromol.3c02262 Affiliations: 3 Authors: 3 ...

📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015) - mca91/EconometricsWithR ...

Purpose: We tried to establish the normal tissue complication probability (NTCP) model of temporal lobe injury of recurrent nasopharyngeal carcinoma (NPC) patients after two courses of intensity ...

Handling uncertainty in model predictive control (MPC) comes with various challenges, especially when considering state constraints under uncertainty. Most methods focus on either the conservative ...

This course follows on from our Linear Panel Data Models in Stata course to offer the necessary theoretical background and the applied skills to enable participants to: i) independently employ ...