Factorial designs have broad applications in agricultural, engineering and scientific studies. In constructing and studying properties of factorial designs, traditional design theory treats all factors as nominal. However, this is not appropriate for experiments that involve quantitative factors. For designs with quantitative factors, level permutation of one or more factors in a design matrix ...

Qualitative analyses were carried out on solid medium with insoluble collagen 0.25% (w/v) to detect proteases with collagenolytic activity produced by Bacillus sp. In cultures incubated for 24 h, a 23 full factorial design with four repetitions at the center point was developed to analyze the effects and interactions between initial pH, temperature and the concentration of gelatin. Based on the...

In this paper, we show that the projection of a regular orthogonal array of strength t onto more than t factors consists of replicates of either a fractional factorial or a full factorial design of strength t, depending on the number of factors retained in the projection.

This chapter focuses on stated preferences obtained from discrete choice experiments (DCEs also known as SPDCEs), as opposed to data that reflect real market choices (revealed preferences (RP) as discussed in Chapter 9). DCEs try to simulate the essential elements of real market options that consumers might face in the future. Unlike real market choice data, DCEs rely on constructed markets in ...