𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Towards a nonparametric test of linearity for times series

✍ Scribed by Ricardo Rios


Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
906 KB
Volume
68
Category
Article
ISSN
0378-3758

No coin nor oath required. For personal study only.

✦ Synopsis


We study the intervals of linearity for the regression function of stationary and strongly mixing vectorial-valued random processes, using nonlinear integral plug-in estimators of functionals of the second derivative of the regression function. We give conditions in order to obtain CLT, possibly degenerated, for these estimators at the semiparametric rate v ~. Simulations for a test statistic based on these estimators under linearity and nonlinearity conditions are given.


πŸ“œ SIMILAR VOLUMES


A Nonparametric Test of Serial Independe
✍ Kilani Ghoudi; Reg J. Kulperger; Bruno RΓ©millard πŸ“‚ Article πŸ“… 2001 πŸ› Elsevier Science 🌐 English βš– 349 KB

This paper presents nonparametric tests of independence that can be used to test the independence of p random variables, serial independence for time series, or residuals data. These tests are shown to generalize the classical portmanteau statistics. Applications to both time series and regression r

On a nonparametric test for linear relat
✍ Holger Dette πŸ“‚ Article πŸ“… 2000 πŸ› Elsevier Science 🌐 English βš– 108 KB

In a recent paper Azzalini and Bowman (1993, J. Roy. Statist. Soc. Ser. B 55, 549 -559) proposed a pseudolikelihood ratio test for checking the linearity in a homoscedastic nonparametric regression model under a ΓΏxed design assumption. In this paper, we study the asymptotic properties of this test a

Functional methods for time series predi
✍ GermΓ‘n Aneiros-PΓ©rez; Ricardo Cao; Juan M. Vilar-FernΓ‘ndez πŸ“‚ Article πŸ“… 2010 πŸ› John Wiley and Sons 🌐 English βš– 284 KB

## Abstract The problem of prediction in time series using nonparametric functional techniques is considered. An extension of the local linear method to regression with functional explanatory variable is proposed. This forecasting method is compared with the functional Nadaraya–Watson method and wi

On tests for non-linearity in time serie
✍ W. S. Chan; H. Tong πŸ“‚ Article πŸ“… 1986 πŸ› John Wiley and Sons 🌐 English βš– 638 KB

We have developed a new test for non-linearity in time series data in discrete time. A comparative study has been conducted on Subba Rao, Gabr and Hinich's test, Keenan's test, Petruccelli and Davies' test, and the new test. Both simulated and real data are used in the study. The implication for for

Tests for Gaussianity and linearity of m
✍ T.Subba Rao; W.K. Wong πŸ“‚ Article πŸ“… 1998 πŸ› Elsevier Science 🌐 English βš– 556 KB

We propose tests for Gaussianity of a vector stationary time series based on multivariate measures of skewness and kurtosis. The tests are illustrated by two real sets of data. We discuss briefly some properties of linear transforms of vector time series, and stress the need for separate tests for l