The slope and intercepts we compute in a regression model are statistics calculated from the sample data. They are point estimates of corresponding parameters; namely, the slope and intercept in the ...

A locally most powerful test is developed for the hypothesis that a slope coefficient in a linear time series model is stable, against the alternative that the slope shifts exactly once somewhere in ...

A K - S type statistic computed from sequential ranks has been proposed in the astrophysics literature for testing the slope of a truncated regression. There is an easy heuristic justification for the ...