Skip to main content
Log in

Maximum modulus confidence bands

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

Abstract

A family of confidence bands (simultaneous confidence regions) is given for EY = xβ that are piecewise-linear in x. Normality is assumed. These confidence bands are advocated over the usual hyperbolic band when the region of prime interest is distant from \({\overline{\bf x}}\). In particular, this is the case when x = x(t) for time t and future time is of primary interest, that is for the prediction problem. For the case x′ = (1, t), the family of bands includes that of Graybill and Bowden (J Am Stat Assoc 62:403–408, 1967).

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.

Institutional subscriptions

Similar content being viewed by others

References

  • Al-Saidy OM, Piegorsch WW, West RW, Nitcheva DK (2003) Confidence bands for low-dose risk estimation with quantal response data. Biometrics 59: 1056–1062

    Article  MathSciNet  MATH  Google Scholar 

  • Bebbington M, Lai CD, Zitikis R (2010) Life expectancy of a bathtub shaped failure distribution. Stat Papers 51: 599–612

    Article  MathSciNet  MATH  Google Scholar 

  • Bowden DC (1970) Simultaneous confidence bands for linear regression models. J Am Stat Assoc 65: 413–421

    Article  MathSciNet  MATH  Google Scholar 

  • Chen ZM (1998) Joint estimation for the parameters of the extreme value distributions. Stat Papers 39: 135–146

    Article  MATH  Google Scholar 

  • Graybill FA, Bowden DC (1967) Linear segment confidence bands for simple linear models. J Am Stat Assoc 62: 403–408

    Article  MathSciNet  Google Scholar 

  • Grob J (2003) Linear regression. Lecture notes in statistics, vol 175. Springer, Berlin

    Google Scholar 

  • Hayter AJ, Liu W, Ah-Kine P (2009) A ray method of confidence band construction for multiple linear regression models. J Stat Plan Infer 139: 329–334

    Article  MathSciNet  MATH  Google Scholar 

  • Kahle W (1994) Simultaneous confidence-regions for the parameters of damage processes. Stat Papers 35: 27–41

    Article  MathSciNet  MATH  Google Scholar 

  • Liu W, Hayter AJ (2007) Minimum area confidence set optimality for confidence bands in simple linear regression. J Am Stat Assoc 102: 181–190

    Article  MathSciNet  MATH  Google Scholar 

  • Liu W, Hayter AJ, Piegorsch WW, Ah-Kine P (2009) Comparison of hyperbolic and constant width simultaneous confidence bands in multiple linear regression under MVCS criterion. J Multivar Anal 100: 1432–1439

    Article  MathSciNet  MATH  Google Scholar 

  • Liu W, Jamshidian M, Zhang Y (2004) Multiple comparison of several regression models. J Am Stat Assoc 99: 395–403

    Article  MathSciNet  MATH  Google Scholar 

  • Liu W, Jamshidian M, Zhang Y, Bretz F (2005a) Constant width simultaneous confidence bands in multiple linear regression with predictor variables constrained in intervals. J Stat Comput Simul 75: 425–436

    Article  MathSciNet  MATH  Google Scholar 

  • Liu W, Jamshidian M, Zhang Y, Donnelly J (2005b) Simulation-based simultaneous confidence bands for a multiple linear regression model when the covariates are constrained. J Comput Graph Stat 14: 459–484

    Article  MathSciNet  Google Scholar 

  • Liu W, Lin S (2009) Construction of exact simultaneous confidence bands in multiple linear regression with predictor variables constrained in an ellipsoidal region. Statistica Sinica 19: 213–232

    MathSciNet  MATH  Google Scholar 

  • Liu W, Lin S, Piegorsch WW (2008) Construction of exact simultaneous confidence bands for a simple linear regression model. International Statistical Review 76: 39–57

    Article  MATH  Google Scholar 

  • Montgomery DC, Peck EA, Vining GG (2001) Introduction to linear regression analysis, 3rd edn. John Wiley and Sons, New York

    MATH  Google Scholar 

  • Piegorsch WW, West RW, Pan W, Kodell R (2005) Low dose risk estimation via simultaneous statistical inferences. J R Stat Soc C 54: 245–258

    Article  MathSciNet  MATH  Google Scholar 

  • Scheffé H (1953) A method for judging all contrasts in analysis of variance. Biometrika 40: 87–104

    MathSciNet  MATH  Google Scholar 

  • Seber GAF (1977) Linear regression analysis. Wiley, New York

    MATH  Google Scholar 

  • Seber GAF, Lee AJ (2003) Linear regression analysis, 2nd edn. John Wiley and Sons, Hoboken

    Book  MATH  Google Scholar 

  • Weisberg S (2005) Applied linear regression, 3rd edn. John Wiley and Sons, Hoboken

    Book  MATH  Google Scholar 

  • Working H, Hotelling H (1929) Applications of the theory of error to the interpretation of trends. J Am Stat Assoc 24: 73–85

    MATH  Google Scholar 

  • Yan X, Su XG (2009) Linear regression analysis: theory and computing. World Scientific Publishing Company, Hackensack

    Book  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Saralees Nadarajah.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Withers, C.S., Nadarajah, S. Maximum modulus confidence bands. Stat Papers 53, 811–819 (2012). https://doi.org/10.1007/s00362-011-0384-3

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00362-011-0384-3

Keywords

AMS Subject Classification (2000)

Navigation