Stochastic Processes With R: An Introduction - Couverture rigide

Korosteleva, Olga

Couverture rigide

ISBN 10 : 1032153733 ISBN 13 : 9781032153735

Editeur : Chapman & Hall/CRC, 2022

Synopsis

Stochastic Processes with R: An Introduction cuts through the heavy theory that is present in most courses on random processes and serves as practical guide to simulated trajectories and real-life applications for stochastic processes. The light yet detailed text provides a solid foundation that is an ideal companion for undergraduate statistics students looking to familiarize themselves with stochastic processes before going on to more advanced courses.

Key Features

Provides complete R codes for all simulations and calculations

Substantial scientific or popular applications of each process with occasional statistical analysis

Helpful definitions and examples are provided for each process

End of chapter exercises cover theoretical applications and practice calculations

 

A propos du livre

À propos de l'auteur

Olga Korosteleva, PhD, is a professor of statistics in the Department of Mathematics and Statistics at California State University, Long Beach (CSULB). She earned her Bachelor's degree in mathematics in 1996 from Wayne State University in Detroit, and her PhD in statistics from Purdue University in West Lafayette, Indiana, in 2002. Since then she has been teaching statistics and mathematics courses at CSULB.

Détails de l'édition

• Éditeur: Chapman & Hall/CRC
• Date d'édition: 2022
• Langue: anglais
• ISBN 10: 1032153733
• ISBN 13: 9781032153735
• Reliure: Relié
• Nombre de pages: 190
• Coordonnées du fabricant: non disponible
• Personne responsable: gpsr@libri.de; gpsr@libri.de; ; Friedensallee 273; Hamburg; 22763; Allemagne