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Analysis of Messy Data: Nonreplicated Experiments v. 2
 
 
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Analysis of Messy Data: Nonreplicated Experiments v. 2 (Hardcover)

by George A. Milliken (Author), Dallas E. Johnson (Author) "Many experiments are very expensive to conduct so that experimenters are often forced to limit the number of treatment combinations that can be studied in..." (more)
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Researchers often do not analyze nonreplicated experiments statistically because they are unfamiliar with existing statistical methods that may be applicable. Analysis of Messy Data, Volume II details the statistical methods appropriate for nonreplicated experiments and explores ways to use statistical software to make the required computations feasible.

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Researchers often do not analyze nonreplicated experiments statistically because they are unfamiliar with existing statistical methods that may be applicable. Analysis of Messy Data, Volume II details the statistical methods appropriate for nonreplicated experiments and explores ways to use statistical software to make the required computations feasible.
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Many experiments are very expensive to conduct so that experimenters are often forced to limit the number of treatment combinations that can be studied in order to have adequate resources available to replicate the treatment combinations under study. Read the first page
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