UID:
almafu_9961294374302883
Umfang:
1 online resource (x, 535 pages) :
,
digital, PDF file(s).
ISBN:
1-108-31413-9
,
1-108-31113-X
,
1-108-29136-8
Inhalt:
Probability has applications in many areas of modern science, not to mention in our daily life. Its importance as a mathematical discipline cannot be overrated, and it is a fascinating and surprising topic in its own right. This engaging textbook with its easy-to-follow writing style provides a comprehensive, yet concise introduction to the subject. It covers all of the standard material for undergraduate and first-year-graduate-level courses as well as many topics that are usually not found in standard text - such as Bayesian inference, Markov chain Monte Carlo simulation, and Chernoff bounds.
Anmerkung:
Title from publisher's bibliographic system (viewed on 25 Sep 2018).
,
Foundations of probability theory -- Conditional probability -- Discrete random variables -- Continuous random variables -- Jointly distributed random variables -- Multivariate normal distribution -- Conditioning by random variables -- Generating functions -- Additional topics in probability -- Discrete-time Markov chains -- Continuous-time Markov chains.
Weitere Ausg.:
ISBN 1-108-41874-0
Sprache:
Englisch
URL:
https://doi.org/10.1017/9781108291361
