Predictor Sort Confidence Interval Simulation
This program performs a simulation to test how well corrected
confidence intervals on means based on ANOVAs and ANOCOVs perform under
predictor sort sampling. It also estimates coverages for
confidence intervals based on uncorrected blocked and unblocked ANOVAs.
This work is discussed in two papers:
Verrill (1999), "When Good
Confidence Intervals Go Bad: Predictor Sort Experiments and
ANOVA," The American Statistician, 53(1), 38-42
Kretschmann (2017a), "A Reminder about
Potentially Serious Problems with a Type of Blocked ANOVA
Analysis," USDA Forest Products Laboratory research paper FPL-RP-683
Links to the FORTRAN source code for a version of this program
can be found
For further information, please contact Steve Verrill at
firstname.lastname@example.org or 608-231-9375.
Last modified on 1/12/17.
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