This Paper Proposes a General Method to Build Exact Tests and Confidence Sets in Linear Regressions with First-Order Autoregressive Gaussian Disturbances. Because of a Nuisance Parameter Problem, We Argue That Generalized Bounds Tests and Conservative Confidence Sets Provide Natural Inference...

Ce Texte Developpe des Methodes D'inference Non Parametriques Pour le Processus Autoregressif D'ordre Un. le Probleme Etudie Est de Tester N'importe Quelle Hypothese Affirmant Que le Coefficient D'autocorrelation (...) a une Valeur Donnee (...) Ou (...) Est une Valeur Admissible Arbitraire...

We Present Several Small-Sample Results on the Distribution of Residuals and Estimators of the Disturbance Variance in Econometric Models. We Consider General Linear and Nonlinear Models with Stochastic Regressors and Possibly Nonlinear Restrictions on the Parameters. These Include...

This Paper Gives Non-Uniform Bounds on the Tail Areas of the Permutation Distribution of the Usual Student's T Statistic When the Observations Are Independent with Symmetric Distributions. As Opposed to Uniform Bounds, Non-Uniform Bounds Depend on the Observed Sample. It Is Shown That the...