We derive exact finite-sample expressions for the biases and risks of several common pretest estimators of the scale parameter in the linear regression model. These estimators are associated with ...

The regression model with autocorrelated disturbances is as follows: In these equations, y t are the dependent values, x t is a column vector of regressor variables, is a column vector of structural ...

In epidemiological cohort studies of occupational and environmental exposures, individual exposure measurements are often not available for all members of the study, whereas health outcome measures ...

One benefit of using likelihood-based methods is that an approximate covariance matrix is available from the matrix of second derivatives evaluated at the ML solution. This covariance matrix is valid ...

While previous sections of this report have focused on the kinds of systematic biases that may be the largest worry when it comes to public opinion polls, the variance (or precision) of estimates is ...

Where is the model fitting information stored in MLwiN? Parameter storage columns: MLwiN routinely stores the random parameter estimates in C1096 (for more information see the question ' Where can I ...