Single-Factor Experiments with Fixed and Random Effects

Helge Toutenburg
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Helge Toutenburg: University of Munich, Institute of Statistics

Chapter 4 in Experimental Design and Model Choice, 1995, pp 95-143 from Springer

Abstract: Abstract The analysis of variance, which was originally developed by R. A. Fisher for field experiments, is one of the most widely used and one of the most general statistical procedures for testing and analysing data. These procedures require a large amount of computation, especially in case of complicated classifications. For this reason, these procedures are available as software.

Keywords: Little Significant Difference; Unbiased Estimate; Experimental Unit; Honestly Significant Difference; Linear Restriction (search for similar items in EconPapers)
Date: 1995
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-52498-1_4

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DOI: 10.1007/978-3-642-52498-1_4

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