Stochastic Processes with R: An Introduction (Chapman & Hall/CRC Texts in Statistical Science) - Tapa dura

Korosteleva, Olga

 
9781032153735: Stochastic Processes with R: An Introduction (Chapman & Hall/CRC Texts in Statistical Science)
Tapa dura
ISBN 10: 1032153733 ISBN 13: 9781032153735
Editorial: Chapman and Hall/CRC, 2022

Sinopsis

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

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Acerca del autor

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.

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Editorial
Chapman and Hall/CRC
Año de publicación
2022
Idioma
Inglés
ISBN 10 
1032153733
ISBN 13 
9781032153735
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
190
Contacto del fabricante
Taylor and Francis, GPSR Taylor and Francis
gpsr@taylorandfrancis.com

Taylor & Francis Verlag GmbH, Kaufingerstraße 24
München
80331
Alemania

Otras ediciones populares con el mismo título

9781032154732: Stochastic Processes with R: An Introduction (Chapman & Hall/CRC Texts in Statistical Science)

Edición Destacada

ISBN 10:  103215473X ISBN 13:  9781032154732
Editorial: Chapman and Hall/CRC, 2024
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