Probability e-bog
546,47 DKK
(inkl. moms 683,09 DKK)
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 actio...
E-bog
546,47 DKK
Forlag
Cambridge University Press
Udgivet
30 september 2010
Genrer
Probability and statistics
Sprog
English
Format
pdf
Beskyttelse
LCP
ISBN
9780511910906
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.