is called the weighted least-squares estimate of [beta].

Delete one observation and compute the least-squares estimate of [beta] from the remaining (n - 1) observations.

By minimizing the trace of E'E, Theil shows that the orthogonal

least-squares estimate of the price index is the eigenvector corresponding to [lambda], the largest eigenvalue of CC'.

is either a

least-squares estimate of [beta] or an initial guess for the parameter values.

Here we use the incidence data starting on April 18 and continuing past April 30 to obtain a

least-squares estimate of the minimum point [t.

The best

least-squares estimate for the parameter Y of the nonexistent laboratory-effects model (1) is the weighted mean [x.

1] = the

least-squares estimate of the population regression coefficient for X

But its

least-squares estimate would almost certainly be biased or inconsistent, even if the form of the equation were correct, becasue the bond rate is almost certainly not exogenous and hence not independent of the equation's disturbances.

Restricted

least-squares estimates of age composition from length composition.

Weighted

least-squares estimates are not possible if P [is less than or equal to] 0 or P [is greater than or equal to] 1.

In particular, if the individual-specific error component is correlated with X, then

least-squares estimates of [Beta] from cross-sectional data will be inconsistent.

rt] are contaminated by outliers, these

least-squares estimates are unduly susceptible to sampling variation and may be quite unstable.