Posted by **angus77** at June 10, 2016

Posted by **sasha82** at April 20, 2016

2011 | ISBN: 0470660953 | English | 330 pages | EPUB | 7 MB

Posted by **bookwarrior** at March 8, 2016

2015 | 215 Pages | ISBN: 1466572019 | PDF | 3 MB

Posted by **arundhati** at Dec. 1, 2015

2015 | ISBN-10: 3319238043 | 400 pages | PDF | 4 MB

Posted by **BUGSY** at Aug. 30, 2015

English | Mar. 25, 2002 | ISBN: 0727915525 | 167 Pages | PDF | 8 MB

This is one of the bestselling introductions to medical statistics of all time. The tenth edition has been revised throughout, especially in the areas of binary data to deal with relative risk, absolute risk and the evidence-based criteria of numbers need to treat.

Posted by **BUGSY** at Aug. 29, 2015

English | Aug. 26, 2003 | ISBN: 1584884339 | 376 Pages | PDF | 8 MB

Statistical ideas have been integral to the development of epidemiology and continue to provide the tools needed to interpret epidemiological studies. Although epidemiologists do not need a highly mathematical background in statistical theory to conduct and interpret such studies…

Posted by **interes** at July 19, 2015

English | 2011 | ISBN: 1420069764 | 184 pages | PDF | 12,8 MB

Posted by **BUGSY** at June 22, 2015

English | Oct 20, 2014 | ISBN: 1466572019 | 212 Pages | PDF | 2 MB

The Synoptic Problem and Statistics lays the foundations for a new area of interdisciplinary research that uses statistical techniques to investigate the synoptic problem in New Testament studies, which concerns the relationships between the Gospels of Matthew, Mark, and Luke.

Posted by **BUGSY** at June 16, 2015

English | 1996 | ISBN: 1461275253 | 99 Pages | PDF | 4 MB

1.1 Overview V ARIOWIN 2.2 is a collection of four Windows™ programs - Prevar2D, Vari02D with PCF, Model, and Grid Display - that are used for spatial data analysis and variogram modeling of irregularly spaced data in two dimensions.

Posted by **BUGSY** at May 19, 2015

English | July 11, 2010 | ISBN: 0821848917 | 358 Pages | PDF | 3 MB

This volume is based on lectures presented at the AMS Special Session on Algebraic Methods in Statistics and Probability–held March 27-29, 2009, at the University of Illinois at Urbana-Champaign–and on contributed articles solicited for this volume.