Stochastic Processes with R

An Introduction

Gebonden Engels 2022 9781032153735
€ 153,09
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Samenvatting

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

Specificaties

ISBN13:9781032153735
Taal:Engels
Bindwijze:Gebonden
Aantal pagina's:190
Uitgever:Taylor & Francis Ltd

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Inhoudsopgave

1 Stochastic Process. Discrete-time Markov Chain 2 Random Walk 3 Poisson Process 4 Nonhomogeneous Poisson Process 5 Compound Poisson Process 6 Conditional Poisson Process 7 Birth-and-Death Process 8 Branching Process 9 Brownian Motion

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