Add to ORKGMotivated by a problem that commonly arise in the food industry, a methodology based on the Single Functional Index Model (SFIM) is proposed and a test procedure to specify the link function between the real response and the functional covariate is described and applied
We propose a novel bootstrap-based methodology for testing hypotheses about equality of certain char...
In many real world studies, the aim is to predict a real value of interest from the observation of a...
Given a functional regression model with scalar response, the aim is to present a methodology in ord...
The problem of specifying the link function that models the dependence structure between two random ...
Abstract: The single-index model with an unknown link function is a generalized lin-ear model that h...
The functional linear model with functional response (FLMFR) is one of the most fundamental models t...
[[abstract]]We concern ourselves with the methods for testing the overall goodness of fit of a param...
A thorough analysis of competitive factors of functional foods has made it possible to develop an al...
The regression problem involving functional predictors has many important appli-cations and a number...
ABSTRACT. We propose a robust test for the equality of the covariance struc-tures in two functional ...
We introduce in this work the Interval Testing Procedure (ITP), a novel inferential technique for fu...
We introduce in this work the Interval Testing Procedure (ITP), a novel inferential technique for fu...
Functional Data Analysis is the branch of statistics in which data are realizations of a functional ...
This paper proposes a new conditional mean test to assess the validity of binary and fractional para...
Discrete choice models are frequently used in statistical and econometric practice. Standard models ...
We propose a novel bootstrap-based methodology for testing hypotheses about equality of certain char...
In many real world studies, the aim is to predict a real value of interest from the observation of a...
Given a functional regression model with scalar response, the aim is to present a methodology in ord...
The problem of specifying the link function that models the dependence structure between two random ...
Abstract: The single-index model with an unknown link function is a generalized lin-ear model that h...
The functional linear model with functional response (FLMFR) is one of the most fundamental models t...
[[abstract]]We concern ourselves with the methods for testing the overall goodness of fit of a param...
A thorough analysis of competitive factors of functional foods has made it possible to develop an al...
The regression problem involving functional predictors has many important appli-cations and a number...
ABSTRACT. We propose a robust test for the equality of the covariance struc-tures in two functional ...
We introduce in this work the Interval Testing Procedure (ITP), a novel inferential technique for fu...
We introduce in this work the Interval Testing Procedure (ITP), a novel inferential technique for fu...
Functional Data Analysis is the branch of statistics in which data are realizations of a functional ...
This paper proposes a new conditional mean test to assess the validity of binary and fractional para...
Discrete choice models are frequently used in statistical and econometric practice. Standard models ...
We propose a novel bootstrap-based methodology for testing hypotheses about equality of certain char...
In many real world studies, the aim is to predict a real value of interest from the observation of a...
Given a functional regression model with scalar response, the aim is to present a methodology in ord...