A treatment of estimating unknown parameters, testing hypotheses and estimating confidence intervals in linear models. Readers will find here presentations of t
. . ) (under the assumption that the spectral density exists). For this reason, a vast amount of periodical and monographic literature is devoted to the nonpara
The essential introduction to the theory and application of linear models—now in a valuable new edition Since most advanced statistical tools are generalizati
This is a beginner's guide to applied econometrics using the free statistics software R. It provides and explains R solutions to most of the examples in 'Princi
This work details the statistical inference of linear models including parameter estimation, hypothesis testing, confidence intervals, and prediction. The autho