Posted by **AvaxGenius** at Oct. 31, 2017

English | EPUB | 2017 | 318 Pages | ISBN : 1493965700 | 2.93 MB

The revised second edition of this textbook provides the reader with a solid foundation in probability theory and statistics as applied to the physical sciences, engineering and related fields. It covers a broad range of numerical and analytical methods that are essential for the correct analysis of scientific data, including probability theory, distribution functions of statistics, fits to two-dimensional data and parameter estimation, Monte Carlo methods and Markov chains.

Posted by **arundhati** at Oct. 19, 2017

English | 2013 | ISBN: 1461479835 | 303 pages | PDF | 3 MB

Posted by **nebulae** at Sept. 19, 2017

English | ISBN: 110769440X | 2017 | 376 pages | PDF, EPUB | 12 + 9 MB

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

2017 | ISBN: 1498797326 | English | 206 pages | PDF | 5 MB

Posted by **ChrisRedfield** at Aug. 2, 2017

Published: 2013-10-17 | ISBN: 1461485932 | PDF | 563 pages | 7.54 MB

Posted by **ChrisRedfield** at July 28, 2017

Published: 2014-03-04 | ISBN: 1461496012, 1493940783 | PDF | 648 pages | 10.63 MB

Posted by **AlenMiler** at July 10, 2017

English | 6 July 2017 | ASIN: B073RLXQW3 | 206 Pages | AZW3 | 5.09 MB

Posted by **roxul** at May 28, 2017

English | ISBN: 1107014166, 1107667275 | 2013 | 587 pages | PDF | 3 MB

Posted by **step778** at May 17, 2017

2005 | pages: 551 | ISBN: 1584880708 | PDF | 2,8 mb

Posted by **Jeembo** at April 14, 2017

English | 2001 | ISBN: 158488083X | 624 Pages | PDF | 53.4 MB

Analysis of covariance is a very useful but often misunderstood methodology for analyzing data where important characteristics of the experimental units are measured but not included as factors in the design.