Buscar
Mostrando ítems 1-9 de 9
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 ...
Bagging cross-validated bandwidths with application to big data
(2021)
Hall & Robinson (2009) proposed and analysed the use of bagged cross-validation to choose the band-width of a kernel density estimator. They established that bagging greatly reduces the noise inherent in ordinary ...
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 ...
TTS package: Computational tools for the application of the Time Temperature Superposition principle
(Elsevier, 2023)
[Abstract]: The TTS package has been developed in R software to predict the mechanical properties of viscoelastic materials, at short and long observation times/frequencies by applying the Time Temperature Superposition ...
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 ...
Nonparametric Conditional Risk Mapping Under Heteroscedasticity
(Springer Nature, 2024-03)
[Absctract]: A nonparametric procedure to estimate the conditional probability that a nonstationary geostatistical process exceeds a certain threshold value is proposed. The method consists of a bootstrap algorithm that ...