Robust estimators and probability integral transformations
β Scribed by S. Fegyverneki
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 747 KB
- Volume
- 38
- Category
- Article
- ISSN
- 0895-7177
No coin nor oath required. For personal study only.
β¦ Synopsis
This article gives a construction of a weighted mean which has good robust properties (qualitative robustness, bounded influence function, high breakdown points). The construction is baaed on M-functionals with smooth defining functions which are used to control weighting. This construction has the advantage of the computational speed and opens up the possibility of allowing the weighting to take the shape of the original data set into account. This method can be applied to some other statistical problems: the estimation of shape parameter at the Student-and Weibullfamily, examination for sufficient statistics of Ornstein-Uhlenbeck process.
π SIMILAR VOLUMES
A general formula is given for computing the distribution function K of the random variable H (X; Y ) obtained by taking the bivariate probability integral transformation (BIPIT) of a random pair (X; Y ) with distribution function H . Of particular interest is the behavior of the sequence (Kn) corre