Optimal Designs for Estimating the Percentiles of the Risk in Multistage Models of Carcinogenesis
β Scribed by Christos Kitsos
- Publisher
- John Wiley and Sons
- Year
- 1999
- Tongue
- English
- Weight
- 158 KB
- Volume
- 41
- Category
- Article
- ISSN
- 0323-3847
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
## Abstract This paper deals with optimal designs for Gaussian random fields with constant trend and exponential correlation structure, widely known as the OrnsteinβUhlenbeck process. Assuming the maximum likelihood approach, we study the optimal design problem for the estimation of the trend Β΅ and
Modelling of physical processes always involves approximations. This undermodelling, coupled with noisy process data, results in biased frequency response estimates of models. The bias error cannot be eliminated, but can be distributed over frequencies by careful design of the estimator. This paper