Optimal tests for autoregressive models based on autoregression rank scores
Optimal tests for autoregressive models based on autoregression rank scores
Locally asymptotically optimal tests based on autoregression rank scores are constructed for testing linear constraints on the structural parameters of AR processes. Such tests are asymptotically distribution free and do not require the estimation of nuisance parameters. They constitute robust, flexible and quite powerful alternatives to existing methods such as …