Measure, Integral and Probability
Marek Capinski, (Peter) Ekkehard Kopp
This very well written and accessible book emphasizes the reasons for studying measure theory, which is the foundation of much of probability. By focusing on measure, many illustrative examples and applications, including a thorough discussion of standard probability distributions and densities, are opened. The book also includes many problems and their fully worked solutions.
Categorie:
Anno:
2013
Casa editrice:
Springer Science & Business Media
Lingua:
english
Pagine:
229
ISBN 10:
1447136314
ISBN 13:
9781447136316
File:
FB2 , 669 KB
IPFS:
,
english, 2013
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