Interval estimation via tail functions
โ Scribed by Borek Puza; Terence O'Neill
- Publisher
- John Wiley and Sons
- Year
- 2006
- Tongue
- French
- Weight
- 631 KB
- Volume
- 34
- Category
- Article
- ISSN
- 0319-5724
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
## Walsh product matrix is formed by the multiplication of Wakh vector and its transpose. The operation of Walsh product matrix on a coefficient vector equals the product of a coefficient matrix and a Walsh vector. This unique property of Walsh functions is used to determine the unknown parameters o
Consider a confidence interval for a randomly chosen linear combination of the elements of the mean vector of a p-dimensional normal distribution. The constant coverage probability is the usual estimator for the coverage function of this interval. Wang (1995) have shown that this estimator is inadmi
It is well known that a bivariate distribution belongs to the domain of attraction of an extreme value distribution G if and only if the marginals belong to the domain of attraction of the univariate marginal extreme value distributions and the dependence function converges to the stable tail depend