𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Sequential estimation of the mean in a random coefficient autoregressive model with beta marginals

✍ Scribed by Adam T. Martinsek


Publisher
Elsevier Science
Year
2001
Tongue
English
Weight
102 KB
Volume
51
Category
Article
ISSN
0167-7152

No coin nor oath required. For personal study only.

✦ Synopsis


Random coe cient autoregressive processes with beta marginals provide a useful family of models for data that are both bounded and dependent over time. We obtain results on sample-size e cient sequential estimation of the mean for such processes.


πŸ“œ SIMILAR VOLUMES


The sequential estimation in stochastic
✍ Sangyeol Lee πŸ“‚ Article πŸ“… 2003 πŸ› Elsevier Science 🌐 English βš– 149 KB

This paper considers the problem of sequential point estimation and ΓΏxed accuracy conΓΏdence set procedures of parameters in a stochastic regression model with random coe cients. The sequential estimator proposed is based on the least-squares estimator and is shown to be risk e cient as the cost of e

Maximum likelihood estimation of the cor
✍ Steven T. Garren πŸ“‚ Article πŸ“… 1998 πŸ› Elsevier Science 🌐 English βš– 396 KB

The maximum likelihood estimator (MLE) of the correlation coefficient and its asymptotic properties are well-known for bivariate normal data when no observations are missing. The situation in which one of the two variates is not observed in some of the data is examined herein. The MLE of the correla