Multilevel factorial designs with experiment-induced clustering.

Model-Robust Factorial Designs

Multistratum Fractional Factorial Designs

Recent work on multistratum fractional factorial designs is set in a general and unified framework, and a criterion for selecting multistratum fractional factorial designs that takes stratum variances into account is proposed. Application of the general theory is illustrated on designs of experiments with multiple processing stages, including split-lot designs, blocked strip-plot designs, and p...

Factorial Experiment with Fuzzy and Statistical Techniques

Where fuzzy regression can be applied and, in which conditions fuzzy regression method more appropriate tool for the investigations are identified in this paper. The contrast between fuzzy regression and ordinary regression analysis and three approach of fuzzy regression are summarized. In this paper, we estimated the values of the parameters in the factorial experiment in the textile industry ...

A Factorial Experiment with Fertilizers 'on

Investigations of the plant food requirements for sugarcane grown on the wind-blown, sandy soils of marine origin typical of the Natal coast, have. occupied the' attention, of numerous investigat6rsin past 'years. In some cases there has been shown to be little response to phosphate, whilst in the case of inorganic salts of potash and nitrogen a lack. of response or even a depressing effect on ...

Equivalence of Fractional Factorial Designs

Two designs for a fractional factorial experiment are equivalent if one can be obtained from the other by reordering the treatment combinations, relabeling the factors and relabeling the factor levels. Designs can be viewed as sets of points in pdimensional space, where p is the number of factors. It is shown that, in this setting, two designs are equivalent if the Hamming distances between the...