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Comparing Variances of Several Measurement Methods Using a Randomized Block Design with Repeat Measurements: A Case Study

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Book cover Advances in Ranking and Selection, Multiple Comparisons, and Reliability

Part of the book series: Statistics for Industry and Technology ((SIT))

Abstract

In this chapter we consider the problem of comparing variances of several measurement methods in a randomized block design with repeat measurement methods. The analysis is presented in the context of an actual consulting study, which motivated this chapter. We demonstrate how in a practical data analysis, a combination of informal graphical methods and formal inferential methods (multiple comparison methods) are employed to detect outliers, identify patterns and draw conclusions with confidence.

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Author information

Authors and Affiliations

  1. Department of Statistics, Northwestern University, Evanston, IL, USA

    Ajit C. Tamhane

  2. School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA

    Anthony J. Hayter

Authors
  1. Ajit C. Tamhane
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  2. Anthony J. Hayter
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Editor information

Editors and Affiliations

  1. Department of Mathematics and Statistics, McMaster University, Hamilton, Ontario, L8S 4K1, Canada

    N. Balakrishnan

  2. Department of Statistics, Ohio State University, 19S8 Neil Avenue Cockins Hall, Room 404, Columbus, OH, 43210-1247, USA

    H. N. Nagaraja

  3. Department of Management Science and Statistics, University of Texas at San Antonio, 6900 N. Loop 1604 W, San Antonio, TX, 78249-0632, USA

    N. Kannan

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© 2005 Birkhäuser Boston

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Tamhane, A.C., Hayter, A.J. (2005). Comparing Variances of Several Measurement Methods Using a Randomized Block Design with Repeat Measurements: A Case Study. In: Balakrishnan, N., Nagaraja, H.N., Kannan, N. (eds) Advances in Ranking and Selection, Multiple Comparisons, and Reliability. Statistics for Industry and Technology. Birkhäuser Boston. https://doi.org/10.1007/0-8176-4422-9_10

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