© 1984 by Biometrika Trust
Estimation and hypothesis testing for collections of autoregressive time series
Istituto di Statistica, Università di Padova Padova, Italy
The analysis of a number of independent first-order autoregressive time series is considered in a normal theory context. A model is studied which allows for nonstation-ary and nonidentical distribution of the series caused by both fixed effect and random effect components.
Key Words: Analysis of variance Autoregressive time series Growth curve Longitudinal data Nonstationarity Panel data
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