By George A. Milliken, Dallas E. Johnson

ISBN-10: 0412063719

ISBN-13: 9780412063718

ISBN-10: 0412990814

ISBN-13: 9780412990816

ISBN-10: 158488083X

ISBN-13: 9781584880837

ISBN-10: 4819845195

ISBN-13: 9784819845199

Researchers frequently don't research nonreplicated experiments statistically simply because they're surprising with current statistical equipment that could be appropriate. research of Messy info, quantity II information the statistical tools applicable for nonreplicated experiments and explores how one can use statistical software program to make the mandatory computations possible

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**Extra resources for Analysis of Messy Data, Volume II: Nonreplicated Experiments**

**Example text**

6). 3. 13. 77 in the row labeled HHAT*TEMP is the test for concurrency. 1 than does Tukey's model. 13 Type I and Type III Analysis of Variance Tables from SAS® GLM. V. 0343 There have been several extensions of these types of tests to other interaction models by using different functions to model the interaction terms and also to other designs such as the rc-way cross-classified treatment structures and Latin square treatment structures. Milliken and Graybill (1970) introduced a generalized procedure which allows one to use any known function of the main-effect parameters to model the interaction.

49, and 03 = 1 1 . 14. 719. I. 971, the 10% critical point from Table A. 2. A model with three multiplicative interaction terms would fit the data exactly, so we do not consider testing the significance of U3. 16, one can also see that A! 692] The near equality of the first three elements of the a t vector suggests that there may be no interaction between the column treatments and the first three row treatments . A procedure for testing this conjecture is presented in the next chapter. In addition, the estimation o2 is discussed and other methods of making inferences utilizing the multiplicative interaction model are considered in Chapter 3 .

1. 3. 1 will be analyzed by using two Mandel-type models. 2 different lines are obtained for each temperature level. 3 are analyzed with SAS® GLM by using the commands: PROC GLM; CLASSES TEMP HUMIDITY; MODEL HEIGHT = TEMP HUMIDITY THAT*HUMIDITY/SOLUTION; This fits a different straight-line model for each humidity level. 9. 10. V. 0069 significance level. 235, and the value of SS/? 9) is SS/? 212 and is based on 9 degrees of freedom. 28000000 B -20. 30000000 B -8. 8). / = 0. 246 for this Mandel's model applied to these data.

### Analysis of Messy Data, Volume II: Nonreplicated Experiments by George A. Milliken, Dallas E. Johnson

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