On convergence in distribution of empirical processes defined by independent random processes

DOI10.1007/BF02341491zbMath0866.60009MaRDI QIDQ1925160

Aleksey N. Chuprunov

Publication date: 15 December 1996

Published in: Lithuanian Mathematical Journal (Search for Journal in Brave)

zbMATH Keywords

empirical processesconvergence in distributionGaussian random processes

Mathematics Subject Classification ID

Central limit and other weak theorems (60F05) Convergence of probability measures (60B10)

Related Items (1)

The convergence of the random lines defined by observations of a stochastic process

Cites Work

• Unnamed Item
• On the central limit theorem in \(D[0,1\)]

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