Posted by **free4magazines** at Jan. 7, 2017

615 PDF Books | English | 4.62 GB

This collection covers all fields of mathematics, a must-have for the aspiring maths students and scholars alike.

Posted by **FenixN** at June 10, 2016

English | 1892 PDF Books | 4.63 GB

This Collection contains more than 1800 carefully selected textbooks in such sections: Algebra, Geometry, Number theory, Analysis, Applied mathematics, Calculus and much more.

Posted by **Alexun** at July 7, 2006

McGraw-Hill | 1991 Year | 2nd. ED. | ISBN: 0-07-038007-4 | djvu | 368 pages | 4,64 MB

An updated, revised edition of this very successful Schaum's Outline. Chapters 1 and 3 have been combined so the text begins with linear equations. Chapters 4 (Vector Space Analysis) and 5 (Basis and Dimension) are combined and there is an additional chapter on the cross product and applications of the delta function. There are hundreds of solved and supplementary problems.

Posted by **AlexGolova** at April 25, 2018

English | 1 Jan. 1983 | ISBN: 026262043X | 479 Pages | DJVU | 4.45 MB

Posted by **arundhati** at April 24, 2018

2018 | ISBN-10: 0486821595 | 96 pages | EPUB | 4 MB

Posted by **arundhati** at April 24, 2018

2017 | ISBN-10: 1470440636 | 137 pages | PDF | 46 MB

Posted by **step778** at April 20, 2018

2008 | pages: 203 | ISBN: 0557019907 | PDF | 2,1 mb

Posted by **AlexGolova** at April 13, 2018

English | 12 May 2017 | ISBN: 3319496360 | 372 Pages | PDF | 4.33 MB

Posted by **roxul** at April 11, 2018

English | ISBN: 1119302609 | 2018 | 240 pages | PDF | 4 MB

Posted by **AvaxGenius** at April 9, 2018

English | PDF,EPUB | 2018 | 171 Pages | ISBN : 3319760416 | 4.4 MB

This volume presents a concise and practical overview of statistical methods and tables not readily available in other publications. It begins with a review of the commonly used continuous and discrete probability distributions. Several useful distributions that are not so common and less understood are described with examples and applications in full detail: discrete normal, left-partial, right-partial, left-truncated normal, right-truncated normal, lognormal, bivariate normal, and bivariate lognormal. Table values are provided with examples that enable researchers to easily apply the distributions to real applications and sample data.