Density-Based Empirical Likelihood Ratio Change Point Detection Policies
DOI10.1080/03610918.2010.512692zbMath1205.62056OpenAlexW2087783176MaRDI QIDQ3072401
Albert Vexler, Gregory Gurevich
Publication date: 3 February 2011
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2010.512692
tablesCUSUMempirical likelihoodnonparametric testschange pointsample entropyShiryayev-Roberts procedure
Nonparametric hypothesis testing (62G10) Parametric hypothesis testing (62F03) Order statistics; empirical distribution functions (62G30) Monte Carlo methods (65C05) Approximations to statistical distributions (nonasymptotic) (62E17)
Cites Work
- A Non-Parametric Approach to the Change-Point Problem
- Empirical likelihood ratio confidence regions
- Empirical likelihood ratios applied to goodness-of-fit tests based on sample entropy
- Optimal detection of a change in distribution
- Invariance principles for changepoint problems
- Empirical likelihood for linear models
- On tests for detecting change in mean
- An application of the maximum likelihood test to the change-point problem
- On the power of nonparametric changepoint-tests
- An efficient sequential nonparametric scheme for detecting a change of distribution
- Change point problems in the model of logistic regression
- Nonparametric statistical procedures for the changepoint problem
- Guaranteed testing for epidemic changes of a linear regression model
- An extension of a change-point problem
- Bayes Estimate and Inference for Entropy and Information Index of Fit
- Maximum Likelihood Ratio Tests for Comparing the Discriminatory Ability of Biomarkers Subject to Limit of Detection
- Martingale Type Statistics Applied to Change Points Detection
- Tests for a change-point
- Empirical likelihood ratio confidence intervals for a single functional
- Entropy-Based Tests of Uniformity
- A Simulation Study of One- and Two-Sample Kolmogorov-Smirnov Statistics with a Particular Weight Function
- Correcting moments for goodness of fit tests based on two entropy estimates
- Surveillance of a Simple Linear Regression
- Retrospective Parametric Tests for Homogeneity of Data
- Nonparametric AMOC Changepoint Tests for Stochastically Ordered Alternatives
- \(U\)-statistics for change under alternatives
- \(U\)-statistics for sequential change detection.
This page was built for publication: Density-Based Empirical Likelihood Ratio Change Point Detection Policies