Posted by **AvaxGenius** at Oct. 12, 2017

English | PDF,EPUB | 2017 | 664 Pages | ISBN : 3319648667 | 12.91 MB

This textbook for graduate and advanced undergraduate students presents the theory of matrix algebra for statistical applications, explores various types of matrices encountered in statistics, and covers numerical linear algebra. Matrix algebra is one of the most important areas of mathematics in data science and in statistical theory, and the second edition of this very popular textbook provides essential updates and comprehensive coverage on critical topics in mathematics in data science and in statistical theory.

Posted by **IrGens** at Oct. 16, 2017

English | December 17, 2015 | ASIN: B019IY9G7Q | PDF | 375 pages | 189 MB

Posted by **IrGens** at Oct. 16, 2017

English | February 10, 2016 | ASIN: B01BNSZG10 | PDF | 417 pages | 196 MB

Posted by **IrGens** at Oct. 16, 2017

English | July 14, 2016 | ASIN: B01IGRPCXI | PDF | 420 pages | 195 MB

Posted by **hill0** at Oct. 16, 2017

English | 25 July 2014 | ISBN: 0817648062 | 668 Pages | EPUB | 8.64 MB

Posted by **AvaxGenius** at Oct. 16, 2017

English | PDF(Repost),EPUB | 2016 | 386 Pages | ISBN : 1493940309 | 12.22 MB

This graduate-level textbook is primarily aimed at graduate students of statistics, mathematics, science, and engineering who have had an undergraduate course in statistics, an upper division course in analysis, and some acquaintance with measure theoretic probability. It provides a rigorous presentation of the core of mathematical statistics.

Posted by **insetes** at Oct. 14, 2017

2016 | 125 Pages | ISBN: 9812878106 | PDF | 3 MB

Posted by **insetes** at Oct. 14, 2017

2016 | 568 Pages | ISBN: 9812878785 | PDF | 20 MB

Posted by **hill0** at Oct. 14, 2017

English | 27 Feb. 2016 | ISBN: 9812878750 | 592 Pages | EPUB | 12.14 MB

Posted by **insetes** at Oct. 14, 2017

2016 | 567 Pages | ISBN: 9812878750 | PDF | 16 MB