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.
年:
2013
版本:
1
出版商:
Springer Science & Business Media
語言:
english
頁數:
229
ISBN 10:
1447136314
ISBN 13:
9781447136316
文件:
PDF, 1.35 MB
IPFS:
,
english, 2013