Rick Durrett
Probability
Theory and Examples
Gebonden Engels 2010 9780521765398Levertijd ongeveer 9 werkdagen
Gratis verzonden
Samenvatting
This classic introduction to probability theory for beginning graduate students covers laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, and Brownian motion. It is a comprehensive treatment concentrating on the results that are the most useful for applications. Its philosophy is that the best way to learn probability is to see it in action, so there are 200 examples and 450 problems. The fourth edition begins with a short chapter on measure theory to orient readers new to the subject.
Specificaties
ISBN13:9780521765398
Taal:Engels
Bindwijze:Gebonden
Aantal pagina's:440
Uitgever:Cambridge University Press
Serie:Cambridge Series in
Lezersrecensies
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Inhoudsopgave
1. Measure theory; 2. Laws of large numbers; 3. Central limit theorems; 4. Random walks; 5. Martingales; 6. Markov chains; 7. Ergodic theorems; 8. Brownian motion; Appendix A. Measure theory details.
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