Repeated Measurements on Autoregressive Processes

作者: T. W. Anderson

DOI: 10.1080/01621459.1978.10481585

关键词:

摘要: Abstract Estimation of parameters and tests hypotheses are studied in first-order autoregressive processes where the process is observed several times over a given time interval. The may be homogeneous (i.e., constant time) or inhomogeneous (time-varying parameters). Sufficient statistics under normality obtained for various cases given.

参考文章(8)
Jiri Andel, On the Multiple Autoregressive Series Annals of Mathematical Statistics. ,vol. 42, pp. 755- 759 ,(1971) , 10.1214/AOMS/1177693425
T. W. Anderson, Leo A. Goodman, Statistical Inference about Markov Chains Annals of Mathematical Statistics. ,vol. 28, pp. 89- 110 ,(1957) , 10.1214/AOMS/1177707039
Theodore Wilbur Anderson, The Statistical Analysis of Time Series ,(1971)
H. B. Mann, A. Wald, On the Statistical Treatment of Linear Stochastic Difference Equations Econometrica. ,vol. 11, pp. 173- ,(1943) , 10.2307/1905674
William G. Madow, T. W. Anderson, Introduction to Multivariate Statistical Analysis. American Mathematical Monthly. ,vol. 66, pp. 432- ,(1959) , 10.2307/2308777