Deterministic noises that can be statistically distinguished from the random ones

DOI10.1007/s11203-006-0001-6zbMath1111.62087OpenAlexW2001828199MaRDI QIDQ882914

Ričardas Zitikis, Youri Davydov

Publication date: 24 May 2007

Published in: Statistical Inference for Stochastic Processes (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11203-006-0001-6

zbMATH Keywords

weak convergenceasymptotic normalityempirical processeswhite noisedeterministic noiserandom noiseempirical measures

Mathematics Subject Classification ID

Order statistics; empirical distribution functions (62G30) Inference from stochastic processes (62M99) Stochastic processes (60G99)

Related Items (2)

Estimating the index of increase via balancing deterministic and random data ⋮ Assessing transfer functions in control systems

Cites Work

• Unnamed Item
• Convergence of generalized Lorenz curves based on stationary ergodic random sequences with deterministic noise
• Nonparametric estimation of the chaotic function and the invariant measure of a dynamical system
• The influence of deterministic noise on empirical measures generated by stationary processes

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