Approximation methods in probability theory. (2016)
- Record Type:
- Book
- Title:
- Approximation methods in probability theory. (2016)
- Main Title:
- Approximation methods in probability theory
- Further Information:
- Note: Vydas Čekanavičius.
- Authors:
- Čekanavičius, Vydas
- Contents:
- Definitions and preliminary facts -- The method of convolutions -- Local lattice estimates -- Uniform lattice estimates -- Total variation of lattice measures -- Non-uniform estimates for lattice measures -- Discrete non-lattice approximations -- Absolutely continuous approximations -- The Esseen type estimates -- Lower estimates -- The Stein method -- The triangle function method -- Heinrich's method for m-dependent variables -- Other methods -- Solutions to selected problems -- Bibliography -- Index.
- Publisher Details:
- Switzerland : Springer
- Publication Date:
- 2016
- Extent:
- 1 online resource (xii, 274 pages)
- Subjects:
- 511/.4
Mathematics
Approximation theory
Approximation theory
Mathematics -- Mathematical Analysis
Differential calculus & equations
Distribution (Probability theory)
Mathematics -- Probability & Statistics -- General
Probability & statistics
Electronic books - Languages:
- English
- ISBNs:
- 9783319340722
3319340727
3319340719
9783319340715 - Related ISBNs:
- 9783319340715
- Notes:
- Note: Includes bibliographical references and index.
Note: Online resource; title from PDF title page (SpringerLink, viewed June 28, 2016). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.370013
- Ingest File:
- 02_349.xml