Determination of hypothesis testability in linear statistical models

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Author
Walls, William Hammond
Date
1977-03Advisor
Barr, D.R.
Second Reader
Richards, F.R.
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Show full item recordAbstract
Analysts conducting experiments must frequently
deal with situations in which data is incomplete or
missing. This creates problems that can seriously
affect classical hypothesis testing by introducing
extraneous terras into the hypothesis in a complicated
way. A technique exists that allows an analyst to
determine precisely which experimental terms are
actually present in a proposed hypothesis and what
that hypothesis would actually be testing if employed.
This paper examines the mathematics underlying the
technique and applies the theory to a widely used data
analysis computer package. A computer program is
presented to facilitate implementation of the method.
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