6 citations · 13 across the 7 of their papers we have counts for
3 papers · 1 filter
Designing to detect heteroscedasticity in a regression model
Alessandro Lanteri, Samantha Leorato, Jesús López-Fidalgo +1
We consider the problem of designing experiments to detect the presence of a specified heteroscedastity in a non-linear Gaussian regression model. In this framework, we focus on th…
The Effects of Adaptation on Inference for Non-Linear Regression Models with Normal Errors
Nancy Flournoy, Caterina May, Chiara Tommasi
This work studies the properties of the maximum likelihood estimator (MLE) of a non-linear model with Gaussian errors and multidimensional parameter. The observations are collected…
Best estimation of functional linear models
Giacomo Aletti, Caterina May, Chiara Tommasi
Observations which are realizations from some continuous process are frequent in sciences, engineering, economics, and other fields. We consider linear models, with possible random…