Posted by **DZ123** at March 5, 2018

English | 2001 | ISBN: 1852332190 | DJVU | pages: 395 | 7.8 mb

Posted by **hill0** at Feb. 16, 2018

English | 20 Dec. 2016 | ISBN: 1489979875 | 382 Pages | PDF | 9.23 MB

Posted by **IrGens** at Jan. 9, 2018

English | November 28, 2017 | ISBN: 1470440628 | PDF | 369 pages | 3.8 MB

Posted by **roxul** at Jan. 6, 2018

English | 2016 | ISBN: 1493940031 | 596 pages | EPUB | 7 MB

Posted by **hill0** at Dec. 30, 2017

English | 2 Feb. 2018 | ISBN: 3319711555 | 300 Pages | PDF | 3.06 MB

This book offers hands-on statistical tools for business professionals by focusing on the practical application of a single-equation regression. The authors discuss commonly applied econometric procedures,

Posted by **ChrisRedfield** at Nov. 16, 2017

Published: 1997-10-30 | ISBN: 0387982744 | PDF + DJVU | 190 pages | 11.7 MB

Posted by **AvaxGenius** at Nov. 7, 2017

English | PDF,EPUB | 2017 | 462 Pages | ISBN : 3319675451 | 20.02 MB

This book provides a rigorous introduction to the techniques and results of real analysis, metric spaces and multivariate differentiation, suitable for undergraduate courses.

Posted by **ChrisRedfield** at Nov. 4, 2017

Published: 2014-01-25 | ISBN: 1461496373, 1493946498 | PDF | 409 pages | 4.39 MB

Posted by **AvaxGenius** at Oct. 11, 2017

English | PDF | 2009 | 462 Pages | ISBN : 0387773789 | 3.51 MB

Problems in Real Analysis: Advanced Calculus on the Real Axis features a comprehensive collection of challenging problems in mathematical analysis that aim to promote creative, non-standard techniques for solving problems. This self-contained text offers a host of new mathematical tools and strategies which develop a connection between analysis and other mathematical disciplines, such as physics and engineering.

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

English | EPUB | 2016 | 226 Pages | ISBN : 331931243X | 1.71 MB

Applied Survival Analysis Using R covers the main principles of survival analysis, gives examples of how it is applied, and teaches how to put those principles to use to analyze data using R as a vehicle. Survival data, where the primary outcome is time to a specific event, arise in many areas of biomedical research, including clinical trials, epidemiological studies, and studies of animals.