Two-Way Crossed Classification Without Interaction

Hardeo Sahai and Mohammed I. Ageel
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Hardeo Sahai: University of Puerto Rico
Mohammed I. Ageel: King Saud University, Abha Campus

Chapter 3 in The Analysis of Variance, 2000, pp 125-175 from Springer

Abstract: Abstract The major advantage of the one-way classification (one-factor design) discussed in the preceding chapter is its simplicity, which extends to the experimental layout, the model and assumptions underlying the analysis of variance, and the computations involved in the analysis. The major disadvantage of such a design is its relative inefficiency. The error variance will usually be large compared to that resulting from other designs. This is in part offset by the fact that no other design yields as many degrees of freedom for the error variance as does this design.

Keywords: Variance Component; Abrasive Wear; Breaking Strength; Mixed Effect Model; Variance Table (search for similar items in EconPapers)
Date: 2000
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DOI: 10.1007/978-1-4612-1344-4_3

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