Unit Root Test for Seasonal Time Series with Seasonal Linear Trend

In this thesis, we propose the seasonal linear trend adjusted test statistics for seasonal time series autore-gressive models with a unit root and derive representations for the limit distributions of the estimators and pivotal statistics. We have small Monte Carlo studies to compare the powers of the test statistics suggested in this thesis.