We investigate the extension of the nonparametric regression technique of local polynomial fitting with a kernel weight to generalized linear models and quasi-likelihood contexts. In the ordinary ...

In this project, a dataset consisting of paired observations ((t, y(t))) is analyzed using three proposed non-linear regression models. The primary objective is to determine which model best ...

This project explores the determinants of inflation prediction errors using data from the Survey of Consumer Expectations (SCE) from 2013 to 2023 and monthly National and yearly State-level PCE. The ...

Objective: Head and neck squamous cell carcinoma (HNSCC) remains a devastating disease with significant morbidity and mortality, despite advances in treatment. HPV-positive HNSCC, in particular, has ...