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Procedures based on normal distribution theory

In: Introduction to Multivariate Analysis

Author

Listed:
  • Christopher Chatfield

    (Bath University, School of Mathematics)

  • Alexander J. Collins

    (Bath University, School of Mathematics)

Abstract

In this chapter we introduce a number of data-analytic procedures derived from the normal distribution theory of Chapter 6. Like most procedures based on normal theory, they depend on the values of the sample means, variances and covariances, and so have a heuristic attraction independent of the distributional assumptions. Thus, it could be argued that these procedures are useful methods for the analysis of any data, although, of course, significance levels are only valid when the distributional assumptions apply.

Suggested Citation

  • Christopher Chatfield & Alexander J. Collins, 1980. "Procedures based on normal distribution theory," Springer Books, in: Introduction to Multivariate Analysis, chapter 0, pages 114-139, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4899-3184-9_7
    DOI: 10.1007/978-1-4899-3184-9_7
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