Posted by **enmoys** at Aug. 25, 2014

1999 | 233 Pages | ISBN: 3540762604 | PDF | 5 MB

Posted by **ChrisRedfield** at April 3, 2014

Published: 2008-05-23 | ISBN: 1852337818 | PDF | 312 pages | 5 MB

Posted by **advisors** at April 2, 2014

1999 | 233 Pages | ISBN: 3540762604 | PDF | 5 MB

Posted by **bookwyrm** at Nov. 11, 2013

1999 | 233 Pages | ISBN: 3540762604 | PDF | 5 MB

Posted by **tanas.olesya** at Dec. 7, 2014

English | July 27, 2006 | ISBN: 038732903X | 624 pages | PDF | 4 MB

This is a graduate level textbook on measure theory and probability theory. It presents the main concepts and results in measure theory and probability theory in a simple and easy-to-understand way. It further provides heuristic explanations behind the theory to help students see the big picture.

Posted by **tanas.olesya** at July 23, 2015

English | July 31, 1998 | ISBN: 0387948309 | 315 Pages | PDF | 25 MB

Assuming only calculus and linear algebra, Professor Taylor introduces readers to measure theory and probability, discrete martingales, and weak convergence. This is a technically complete, self-contained and rigorous approach that helps the reader to develop basic skills in analysis and probability.

Posted by **nebulae** at May 8, 2014

English | ISBN: 1107020409, 1107652529 | 2014 | 374 pages | PDF | 2 MB

Posted by **AvaxGenius** at July 23, 2017

English | PDF | 2005 | 352 Pages | ISBN : 8185931550 | 25.6 MB

In 1902 the French mathematician Henri Lebesgue wrote his famous dis- sertation Integrale, Longueur, Aire (Integral, Length and Area). Since 1914 the theory of the Lebesgue measure has become a part of the under- graduate curriculum in analysis in all the technologically advanced coun- tries of the world.

Posted by **interes** at Jan. 7, 2017

English | 2012 | ISBN: 1118122372 | 656 pages | scanned PDF | 38,7 MB

Posted by **enmoys** at April 21, 2016

2012 | 656 Pages | ISBN: 1118122372 | EPUB | 11 MB