to allow various models, various error structures, methods for balanced or unbalanced data, etcetera, to be treated as variations on a common theme. Finally, the approach should be sufficiently tractable so that practitioners may make use of it without undue computational or theoretical heroics.
Brightman(s intention is to strive to present basic principles that are in concert with the goal of developing a consistent approach to the analysis of univariate data.
This chapter speaks of not only Basic Probability but basic concepts of statistical models as well. A probability experiment is one where the outcome is subject to chance.
Consider a probability experiment where one random observation, y[1], is drawn from a population whose mean is 10 and whose variance is 4.
The expected value of the single observation is its average if we were to repeat the experiment a great many times. If the experiment is repeated many times, we would fi
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