Much attention has been given to the problem ofpredicting future obeervatiomfor some individual within a random coefficient regreasion (RCR) model, using the previous observations on that individual aa well es the information from the re& of the data material. In thia paper, the literature on this s
Semiparametric random coefficient regression models
β Scribed by Rudolf Beran
- Publisher
- Springer Japan
- Year
- 1993
- Tongue
- English
- Weight
- 873 KB
- Volume
- 45
- Category
- Article
- ISSN
- 0020-3157
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
We propose and study a semiparametric estimator of the distribution function in the random censorship model which generalizes the Cheng and Lin estimator in the proportional hazards model. Uniform consistency and a functional central limit result for this estimator are established. Some efficiency c
In this paper we consider the semiparametric regression model, Y = x R + m(t) + , and provide some in uence diagnostics for estimators of R, m and the mean response x R + m(t). We express these in uence diagnostics as functions of the residuals and leverages. We ΓΏnd that an in uential observation on