Posted by **libr** at Oct. 27, 2014

English | 2008 | ISBN: 0131471228 | 832 pages | PDF | 5 MB

This is the standard textbook for courses on probability and statistics, not substantially updated. While helping students to develop their problem-solving skills, the author motivates students with practical applications from various areas of ECE that demonstrate the relevance of probability theory to engineering practice.

Posted by **interes** at Oct. 2, 2013

English | 2008 | ISBN: 0131471228 | 832 pages | PDF | 5 MB

This is the standard textbook for courses on probability and statistics, not substantially updated. While helping students to develop their problem-solving skills, the author motivates students with practical applications from various areas of ECE that demonstrate the relevance of probability theory to engineering practice.

Posted by **Specialselection** at Jan. 29, 2013

English | 2008-01-07 | ISBN: 0131471228 | 833 pages | PDF | 5 mb

Posted by **Bayron** at Aug. 19, 2014

English | 2012 | ISBN: 0470889748 | 576 pages | PDF | 6 MB

Posted by **libr** at May 15, 2017

English | 2012 | ISBN: 1848213611 | ISBN-13: 9781848213616 | 304 pages | PDF | 2,6 MB

Posted by **libr** at April 9, 2017

English | 2012 | ISBN: 0470242094 | 794 pages | PDF | 34 MB

Posted by **ksveta6** at Feb. 16, 2017

2015 | ISBN: 3319258249 | English | 527 pages | EPUB | 10 MB

Posted by **rotten comics** at Nov. 30, 2016

1996 | ISBN: 0070306443 | English | 320 pages | PDF | 4.4 MB

Posted by **tanas.olesya** at July 25, 2016

English | 29 Nov. 2005 | ISBN: 0120885085 | 456 Pages | PDF | 2 MB

This book is based on the premise that engineers use probability as a modeling tool, and that probability can be applied to the solution of engineering problems. Engineers and students studying probability and random processes also need to analyze data, and thus need some knowledge of statistics.

Posted by **Underaglassmoon** at March 25, 2016

Springer | Signals & Communication | April 11, 2016 | ISBN-10: 3319307150 | 276 pages | pdf | 7.1 mb

Authors: Unpingco, José

Connects to key open-source Python communities and corresponding modules focused on the latest developments in this area

Outlines probability, statistics, and machine learning concepts using an intuitive visual approach, backed up with corresponding visualization codes