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

English | ISBN: 1107029279 | 2014 | 270 pages | PDF | 4 MB

Posted by **lengen** at Feb. 17, 2017

English | July 13, 2010 | ISBN: 1426937237 | 544 Pages | PDF | 3 MB

A note from the authors: Dear Reader: "Database is boring." That sentiment is heard all too widely these days. But it's so wrong! The database field is full of important problems still to be solved and interesting issues still to be examined - and some of those problems and issues are explored in this book. Between us, we have nearly 80 years experience in this field, and we're still actively researching, exploring, and learning, as well as helping others do the same.

Posted by **interes** at Jan. 31, 2015

English | 2010-10-28 | ISBN: 1441959386 | PDF | 419 pages | 45 MB

Posted by **JohnZulzman** at Oct. 3, 2014

Springer; Softcover reprint of the original 1st ed. 1970 edition | ISBN: 3662278820 | 154 pages | PDF | January 1, 1970 | German | 10 Mb

Posted by **AlenMiler** at May 4, 2017

English | 19 May 2017 | ASIN: B0713XZS43 | 272 Pages | AZW3 | 15.21 MB

Posted by **bookwarrior** at Aug. 19, 2016

2016 | 470 Pages | ISBN: 9004312285 | PDF | 3 MB

Posted by **rotten comics** at June 6, 2016

2004 | ISBN: 9812560327 | English | 260 pages | PDF | 4.8 MB

Posted by **tanas.olesya** at April 22, 2016

English | Feb. 10, 2006 | ISBN: 3540283285 | 424 Pages | PDF | 3 MB

The Malliavin calculus is an infinite-dimensional differential calculus on a Gaussian space, developed to provide a probabilistic proof to HÃ¶rmander's sum of squares theorem but has found a range of applications in stochastic analysis.

Posted by **interes** at Nov. 30, 2015

English | 2015 | ISBN: 1626231710 | 128 pages | PDF | 13 MB

Posted by **BUGSY** at Aug. 24, 2015

English | Oct. 15, 2003 | ISBN: 0824747011 | 214 Pages | PDF | 5 MB

Exploring the application and formulation of the EM algorithm, The EM Algorithm and Related Statistical Models offers a valuable method for constructing statistical models when only incomplete information is available, and proposes specific estimation algorithms for solutions to incomplete data problems.