Prediction and estimation of the mean from observations of the field and the normal derivative on a sphere
β Scribed by O. M. Uryas'eva
- Publisher
- Springer US
- Year
- 1993
- Tongue
- English
- Weight
- 174 KB
- Volume
- 66
- Category
- Article
- ISSN
- 1573-8795
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
The most commonly used estimator for a log-normal mean is the sample mean. In this paper, we show that this estimator can have a large mean square error, even for large samples. Then, we study three main alternative estimators: (i) a uniformly minimum variance unbiased (UMVU) estimator; (ii) a maxim
For estimating under squared-error loss the mean of a p-variate normal distribution when this mean lies in a ball of radius m centered at the origin and the covariance matrix is equal to the identity matrix, it is shown that the Bayes estimator with respect to a uniformly distributed prior on the bo