On improving Uspensky-Sherman'n normal approximation by an Edgeworth-expansion approximation (Q700063)
From MaRDI portal
 | This is the item page for this Wikibase entity, intended for internal use and editing purposes. Please use this page instead for the normal view: On improving Uspensky-Sherman'n normal approximation by an Edgeworth-expansion approximation |
scientific article; zbMATH DE number 1809635
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | On improving Uspensky-Sherman'n normal approximation by an Edgeworth-expansion approximation |
scientific article; zbMATH DE number 1809635 |
Statements
On improving Uspensky-Sherman'n normal approximation by an Edgeworth-expansion approximation (English)
0 references
2 June 2003
0 references
The author presents an exact bound of the remainder in normal approximations for the sample mean from a continuous uniform distribution. The presented bound is so sharp that it may provide practically useful information in some statistical applications.
0 references
Berry-Esseen inequality
0 references
central limit theorem
0 references
Edgeworth expansions
0 references
