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Robust estimators and probability integral transformations

✍ Scribed by S. Fegyverneki


Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
747 KB
Volume
38
Category
Article
ISSN
0895-7177

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✦ 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.


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On the multivariate probability integral
✍ Christian Genest; Louis-Paul Rivest πŸ“‚ Article πŸ“… 2001 πŸ› Elsevier Science 🌐 English βš– 112 KB

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