Nonparametric tests and nested sequential sampling plans for change-point detection
From MaRDI portal
Publication:2400053
DOI10.1007/S10958-017-3250-6OpenAlexW2580626705MaRDI QIDQ2400053
Paul D. Feigin, Ya. P. Lumel'skii
Publication date: 25 August 2017
Published in: Journal of Mathematical Sciences (New York) (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10958-017-3250-6
Nonparametric hypothesis testing (62G10) Exact distribution theory in statistics (62E15) Sequential estimation (62L12) Optimal stopping in statistics (62L15)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Decision theoretic optimality of the cusum procedure
- Embedded polynomial plans of random walks and their applications
- Optimal detection of a change in distribution
- Multidimensional Poisson walks
- Markov random walks in the space of a sufficient statistic and statistical inference
- An efficient sequential nonparametric scheme for detecting a change of distribution
- On some applications of Poisson random walk plans
- A unified Markov chain approach for computing the run length distribution in control charts with simple or compound rules.
- Nonparametric tests for nonstandard change-point problems
- Investigations by statistical sequential analysis
- Minimax Methods for Multihypothesis Sequential Testing and Change-Point Detection Problems
- Finite Continuous Time Markov Chains
- Asymptotic Efficiency of Nonparametric Tests
- Nonparametric adaptive change point estimation and on line detection
This page was built for publication: Nonparametric tests and nested sequential sampling plans for change-point detection