TESTING MODEL ADEQUACY FOR SOME MARKOV REGRESSION-MODELS FOR TIME-SERIES

成果类型:
Article
署名作者:
LI, WK
刊物名称:
BIOMETRIKA
ISSN/ISSBN:
0006-3444
发表日期:
1991
页码:
8389
关键词:
mixtures
摘要:
The asymptotic distribution of residual autocorrelations and a score statistic are derived for checking model adequacy for some Markov regression models for time series. These models are natural extensions of the popular generalized linear models to time series data. The score statistic appears to be somewhat easier to use in practice. Some empirical results are also obtained for the score statistic in some simple cases. A real example is given.