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Nonparametric multiple regression estimation for circular response
(2021)
Nonparametric estimators of a regression function with circular response and -valued predictor are considered in this work. Local polynomial estimators are proposed and studied. Expressions for the asymptotic conditional ...
A goodness-of-fit test for regression models with spatially correlated errors
(2020)
The problem of assessing a parametric regression model in the presence of spatial correlation is addressed in this work. For that purpose, a goodness-of-fit test based on a -distance comparing a parametric and nonparametric ...
Nonparametric estimation of circular trend surfaces with application to wave directions
(2021)
In oceanography, modeling wave fields requires the use of statistical tools capable of handling the circular nature of the data measurements. An important issue in ocean wave analysis is the study of height and direction ...
A computational validation for nonparametric assessment of spatial trends
(2021)
The analysis of continuously spatially varying processes usually considers two sources of variation, namely, the large-scale variation collected by the trend of the process, and the small-scale variation. Parametric trend ...
Goodness-of-fit tests for multiple regression with circular response
(2022)
[Abstract]: Testing procedures for assessing a parametric regression model with a circular response and an Rd-valued covariate are proposed and analysed in this work. The test statistics are based on a circular distance ...
Nonparametric estimation for a functional-circular regression model
(Springer, 2024)
[Abstract]: Changes on temperature patterns, on a local scale, are perceived by individuals as the most direct indicators of global warming and climate change. As a specific example, for an Atlantic climate location, spring ...