Skip to main content
Log in

Schwarz information criterion based tests for a change-point in regression models

  • Regular Article
  • Published:
Statistical Papers Aims and scope Submit manuscript

Abstract

Standard Schwarz information criterion for testing a change-point in regression models is considered and two new test procedures are evolved. The case of small sample size is investigated. Numerical approximations to the power against various alternatives are given and compared with powers of tests based on r-ahead recursive residuals and of the CUSUM of squares test. Application of these procedures to some real data is also provided.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Basseville M, Nikiforov IV (1993) Detection of abrupt changes: theory and application. Prentice Hall, Englewood Cliffs

    Google Scholar 

  • Brown RL, Durbin J, Evans JM (1975) Techniques for testing the constancy of regresion relationships over time (with discution). J R Stat Soc B 37: 149–192

    MATH  MathSciNet  Google Scholar 

  • Chen J, Gupta AK (1997) Testing and locating variance change points with application to stock prices. J Am Stat Assoc 92: 739–747

    Article  MATH  MathSciNet  Google Scholar 

  • Chen J, Gupta AK (2000) Parametric statistical change point analysis. Birkhaeuser, Boston

    MATH  Google Scholar 

  • Nosek K, Szkutnik Z (2008) A power study of k-linear-r-ahead recursive residuals test for change-point in finite sequences. J Stat Comput Simul 78: 1199–1211

    Article  MathSciNet  Google Scholar 

  • Rao CR (1973) Linear statistical inference and its applications. Wiley, New York

    Book  MATH  Google Scholar 

  • Rao CR, Toutenburg H (1995) Linear models: least squares and alternatives. Springer, New York

    MATH  Google Scholar 

  • Schwarz G (1978) Estimating the dimension of a model. Ann Stat 6: 461–464

    Article  MATH  Google Scholar 

  • Schweder T (1976) Some “optimal” methods to detect structural shift or outliers in Regression. J Am Stat Assoc 71: 491–501

    Article  MATH  MathSciNet  Google Scholar 

  • Żoła̧dź JA, Szkutnik Z, Majerczak J, Duda K (1998) Detection of change point in oxygen uptake during an incremental exercise test using recursive residuals: relationship to the plasma lactate accumulation and blood acid base balance. Eur J Appl Physiol 78: 369–377

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Konrad Nosek.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Nosek, K. Schwarz information criterion based tests for a change-point in regression models. Stat Papers 51, 915–929 (2010). https://doi.org/10.1007/s00362-008-0186-4

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00362-008-0186-4

Keywords

Mathematics Subject Classification (2000)

Navigation