A multivariate normal law for Turing’s formulae
✍ Scribed by Zhiyi Zhang
- Book ID
- 120714446
- Publisher
- Springer-Verlag
- Year
- 2013
- Tongue
- English
- Weight
- 523 KB
- Volume
- 75
- Category
- Article
- ISSN
- 0976-836X
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
Turing, in a 1941 personal communication to 1. J. Good, suggested a formula for estimating probabilities of words in text and, more generally, of species in a mixed population of various species. l t is remarkable that Turing's formula can be obtained by significantly different statistical methods;
An exact asymptotic formula for the tail probability of a multivariate normal distribution is derived. This formula is applied to establish two asymptotic results for the maximum deviation from the mean: the weak convergence to the Gumbel distribution of a normalized maximum deviation and the precis