𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Removing Magic from the Normal Distribution and the Stirling and Wallis Formulas

✍ Scribed by Mikhail Kovalyov

Book ID
105995593
Publisher
Springer-Verlag
Year
2011
Tongue
English
Weight
445 KB
Volume
33
Category
Article
ISSN
0343-6993

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

A Formula for the Tail Probability of a
A Formula for the Tail Probability of a Multivariate Normal Distribution and Its Applications
✍ JΓΌrg HΓΌsler; Regina Y. Liu; Kesar Singh πŸ“‚ Article πŸ“… 2002 πŸ› Elsevier Science 🌐 English βš– 113 KB

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

The Linear Discriminant Function: Sampli
The Linear Discriminant Function: Sampling from the Truncated Normal Distribution
✍ Dr. S. Kocherlakota; N. Balakrishnan; K. Kocherlakota πŸ“‚ Article πŸ“… 1987 πŸ› John Wiley and Sons 🌐 English βš– 345 KB πŸ‘ 1 views

## A etudy is made of the behaviour of the linear diecriminant function in the cleeeification of an . observation when sampling from a truncated normal distribution. It is ahown that the truncation prove% 'beneficial' in that it reduces the error retea.