Minimally Selected P and Other Tests for A Single Abrupt Changepoint in A Binary Sequence

DOI10.1111/j.0006-341X.1999.01044.xzbMath1059.62540OpenAlexW1978948162WikidataQ44608191 ScholiaQ44608191MaRDI QIDQ4668303

Aaron L. Halpern

Publication date: 18 April 2005

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.0006-341x.1999.01044.x

zbMATH Keywords

changepointlikelihood ratioHIVrecombinationAnderson-DarlingFisher's exact testKolmogorov-Smirnovmaximally selected chi-square

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric hypothesis testing (62F03) Exact distribution theory in statistics (62E15)

Related Items (6)

Exact change point detection with improved power in small‐sample binomial sequences ⋮ A note on split selection bias in classification trees ⋮ Non-iterative sampling-based Bayesian methods for identifying changepoints in the sequence of cases of haemolytic uraemic syndrome ⋮ Multiple‐Changepoint Testing for an Alternating Segments Model of a Binary Sequence ⋮ Permutation tests for general dependent truncation ⋮ A changepoint statistic with uniform type I error probabilities

Cites Work

• Unnamed Item
• The significance probability of the Smirnov two-sample test
• The Kolmogorov-Smirnov, Cramer-von Mises Tests
• The power of likelihood ratio and cumulative sum tests for a change in a binomial probability
• Maximally Selected Chi Square Statistics
• Maximally Selected Chi Square Statistics for Small Samples
• The Smirnov Two Sample Tests as Rank Tests
• Inference about the change-point in a sequence of binomial variables
• On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other
• Asymptotic Theory of Certain "Goodness of Fit" Criteria Based on Stochastic Processes

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