Parameter Estimation
•This is the basic approach, but the actual estimation may
be complicated.
•Parameter estimation of our multiple linear regression
involving assumptions of independence, normal
distributions and equal variance reduces to using the
method of ordinary least squares.
•Relaxing the independence and equal variance, we can still
use generalised least squares.
•Standard errors provide a measure of the reliability of
each parameter estimate.
•Likelihood ratios can be used to compare alternative
models.
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