Posted by **ChrisRedfield** at Feb. 8, 2016

Published: 2003-12-08 | ISBN: 0521818346, 0521037034 | PDF | 310 pages | 2.25 MB

Posted by **step778** at Dec. 26, 2018

2007 | pages: 311 | ISBN: 0521037034 | PDF | 2,0 mb

Posted by **hill0** at April 20, 2019

by Stefan Thurner

English | 2018 | ISBN: 019882193X | 444 Pages | PDF | 16 MB

Posted by **arundhati** at Jan. 27, 2020

English | ISBN: 0199553335 | 2013 | 304 pages | PDF | 1505 KB

Posted by **roxul** at Dec. 24, 2017

English | EPUB | 2017 | 685 Pages | ISBN : 3319447041 | 10 MB

Posted by **insetes** at May 18, 2019

2003 | 464 Pages | ISBN: 0807014001 | PDF | 30 MB

Posted by **AvaxGenius** at Dec. 21, 2019

English | PDF(Repost),EPUB | 2011 | 409 Pages | ISBN : 0817649034 | 12.9 MB

For over a decade, complex networks have steadily grown as an important tool across a broad array of academic disciplines, with applications ranging from physics to social media. A tightly organized collection of carefully-selected papers on the subject, Towards an Information Theory of Complex Networks: Statistical Methods and Applications presents theoretical and practical results about information-theoretic and statistical models of complex networks in the natural sciences and humanities. The book's major goal is to advocate and promote a combination of graph-theoretic, information-theoretic, and statistical methods as a way to better understand and characterize real-world networks.

Posted by **leonardo78** at March 25, 2017

1966 | ISBN: 0070006563 | 317 pages | DJVU | 3,5 MB

This text is a rigorous introduction on an elementary level to the theory of analytic functions of one complex variable. At American universities it is intended to be used by first-year graduate and advanced undergraduate students.

Posted by **naag** at Oct. 17, 2017

MP4 | Video: AVC 1280x720 | Audio: AAC 48KHz 2ch | Duration: 12 Hours | 10.9 GB

Posted by **AvaxGenius** at Sept. 6, 2019

English | PDF | 2011 | 505 Pages | ISBN : 1441998152 | 5.58 MB

This textbook provides a wide-ranging introduction to the use and theory of linear models for analyzing data. The author's emphasis is on providing a unified treatment of linear models, including analysis of variance models and regression models, based on projections, orthogonality, and other vector space ideas.