Multiple Change Points Problem - Nonparametric Procedures for Estimation of the Points of Change

Edna Schechtman

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

In this paper we consider several procedures for estimating the sites of multiple changepoints in the distribution of a sequence of independent, continuous observations. Each of these estimation schemes is based on the statistic proposed by Schechtman (1982) for testing hypotheses about a single change-point, in conjunction with a variety of techniques for detecting local maxima in a sequence of data. The results of an extensive Monte Carlo investigation are presented and used to provide guidelines for selecting a particular estimation procedure for a specific application.

Original languageEnglish
Pages (from-to)615-631
Number of pages17
JournalCommunications in Statistics Part B: Simulation and Computation
Volume14
Issue number3
DOIs
StatePublished - 1 Jan 1985
Externally publishedYes

Keywords

  • Monte carlo study
  • local maxima
  • multiple changepoints problem
  • nonparametric estimation

ASJC Scopus subject areas

  • Statistics and Probability
  • Modeling and Simulation

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