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Study Design

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Part of the SpringerBriefs in Statistics book series (BRIEFSSTATIST)

Abstract

The previous chapters were almost exclusively concerned with data analysis. We frequently analyse datasets that were collected without our input as to how the observational units or experimental subjects should be selected, how many of them, which measurement instruments and protocols should be applied, how the recorded information should be coded, and other details. Many analyses are secondary, related to issues other than the original (and the principal) motive for the study.

Keywords

  • Loss Function
  • Sample Size Calculation
  • Expected Loss
  • Equilibrium Line
  • Balance Function

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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  • DOI: 10.1007/978-3-642-40433-7_8
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Correspondence to Nicholas T. Longford .

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Longford, N.T. (2013). Study Design. In: Statistical Decision Theory. SpringerBriefs in Statistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40433-7_8

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