Selection procedures for sparse data

DOI10.1016/j.jspi.2005.08.037zbMath1087.62032OpenAlexW2000107284MaRDI QIDQ2369498

Friedrich Liese

Publication date: 22 May 2006

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2005.08.037

zbMATH Keywords

extreme valuesPoisson approximationthinned point processesselection of populations

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Statistics of extreme values; tail inference (62G32) Statistical ranking and selection procedures (62F07) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)

Cites Work

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• Sequential selection procedures. A decision theoretic approach
• Approximate distributions of order statistics. With applications to nonparametric statistics
• Local asymptotic normality of truncated empirical processes
• On testing the extreme value index via the POT-method
• A course on point processes
• Eine informationstheoretische Bedingung für die Äquivalenz unbegrenzt teilbarer Punktprozesse
• Note on discrimination information and variation (Corresp.)
• Discrimination of Poisson Processes

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