
Computational Statistics
Kurzinformation



inkl. MwSt. Versandinformationen
Artikel zZt. nicht lieferbar
Artikel zZt. nicht lieferbar

Beschreibung
Computational inference is based on an approach to statistical methods that uses modern computational power to simulate distributional properties of estimators and test statistics. This book describes computationally intensive statistical methods in a unified presentation, emphasizing techniques, such as the PDF decomposition, that arise in a wide range of methods. von Gentle, James E.
Produktdetails

So garantieren wir Dir zu jeder Zeit Premiumqualität.
Über den Autor
James E. Gentle is University Professor of Computational Statistics at George Mason University. He is a Fellow of the American Statistical Association (ASA) and of the American Association for the Advancement of Science. He has held several national offices in the ASA and has served as associate editor of journals of the ASA as well as for other journals in statistics and computing. He is author of Random Number Generation and Monte Carlo Methods and Matrix Algebra.
- Kartoniert
- 1078 Seiten
- Erschienen 2001
- Springer
- Kartoniert
- 357 Seiten
- Erschienen 2014
- Routledge
- hardcover
- 422 Seiten
- Erschienen 2018
- Cambridge University Pr.
- Kartoniert
- 419 Seiten
- Erschienen 2013
- Wiley-VCH
- hardcover
- 540 Seiten
- Erschienen 2024
- Springer
- paperback
- 656 Seiten
- Erschienen 1998
- CRC Press
- paperback
- 936 Seiten
- Erschienen 2007
- Cengage Learning
- Hardcover
- 464 Seiten
- Erschienen 2020
- John Wiley & Sons Inc
- Hardcover
- 184 Seiten
- Erschienen 2008
- Cambridge University Press