It has been estimated that nearly fiftly percent of all experiments are of the "nonreplicated" type; that is, experiements in which there are no independent replications of the treament combinations being studied. Such experiments must be designed efficiently and analyzed correctly, since they are usually expensive to conduct, and proper interpretation of their results is often critical to decision making. However, many of these experiments are not analyzed in a statistically valid way because researchers are often unaware of these existing methods appropriate for them. Analysis of Messy Data, Volume 2: Nonreplicated Experiments has been written to correct this situation. It offers a wealth of statistical methods for analyzing nonreplicated experiments, as well as techniques to make computations feasible using existing statistical software.

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