Deterministic noises that can be statistically distinguished from the random ones
type: Item
instance of: scholarly article
title: Deterministic noises that can be statistically distinguished from the random ones
zbMATH Open document ID: 1111.62087
author: Youri Davydov
author: Ričardas Zitikis
published in: Statistical Inference for Stochastic Processes
publication date: 2007-05-24T00:00:00Z
Mathematics Subject Classification ID: 62M99
Mathematics Subject Classification ID: 62G30
Mathematics Subject Classification ID: 60G99
zbMATH DE Number: 5157030
zbMATH Keywords: empirical measures
zbMATH Keywords: empirical processes
zbMATH Keywords: weak convergence
zbMATH Keywords: asymptotic normality
zbMATH Keywords: deterministic noise
zbMATH Keywords: random noise
zbMATH Keywords: white noise
MaRDI profile type: Publication
full work available at URL: s11203-006-0001-6
OpenAlex ID: W2001828199
cites work: Nonparametric estimation of the chaotic function and the invariant measure of a dynamical system
cites work: Q5691537
cites work: Convergence of generalized Lorenz curves based on stationary ergodic random sequences with deterministic noise
cites work: The influence of deterministic noise on empirical measures generated by stationary processes
DOI: 10.1007/S11203-006-0001-6
description: scientific article; zbMATH DE number 5157030