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Calibrating For Differences

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Contributions to Probability and Statistics

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Abstract

Suppose that an approximate linear model, or nonparametric regression, relates instrument readings y to standards x. A method is derived for constructing interval estimates of displacements x 1 − x 2 between standards based on corresponding instrument readings y 1,y 2, and the results of a calibration experiment.

Research partially supported by NSF Grant DMS 85- 30793 and DMS 87-03124.

Research partially supported by NSF Grant DMS 85-03793 and ONR Contract N00014-85-K-0357. Computing supported in part by AFOSR Grant 87-0041.

Research partially supported by ONR Contract N00014-83-K-0005 and N00014-84-K-0350.

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References

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Author information

Authors and Affiliations

  1. DePaul University, USA

    George Knafl

  2. University of Illinois at Urbana-Champaign, USA

    Jerome Sacks

  3. Texas A&M University, USA

    Cliff Spiegelman

Authors
  1. George Knafl
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  2. Jerome Sacks
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  3. Cliff Spiegelman
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Editor information

Editors and Affiliations

  1. Department of Statistics, Purdue University, 47907, West Lafayette, IN, USA

    Leon Jay Gleser

  2. Department of Statistics, University of Washington, 98195, Seattle, WA, USA

    Michael D. Perlman

  3. Department of Statistics, University of California, 92521, Riverside, CA, USA

    S. James Press

  4. Department of Mathematics and Statistics, University of Pittsburgh, 15260, Pittsburgh, PA, USA

    Allan R. Sampson

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© 1989 Springer-Verlag New York, Inc.

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Knafl, G., Sacks, J., Spiegelman, C. (1989). Calibrating For Differences. In: Gleser, L.J., Perlman, M.D., Press, S.J., Sampson, A.R. (eds) Contributions to Probability and Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-3678-8_23

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  • DOI: https://doi.org/10.1007/978-1-4612-3678-8_23

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-8200-6

  • Online ISBN: 978-1-4612-3678-8

  • eBook Packages: Springer Book Archive

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