Posted by **thingska** at April 12, 2017

English | 2008 | ISBN: 1584885947, 9781584885948 | 290 Pages | PDF | 16.69 MB

Posted by **fdts** at Dec. 5, 2015

by Thomas R. Fleming, David P. Harrington

English | 2013 | ISBN: 0471769886 | 448 pages | DJVU | 17.03 MB

Posted by **roxul** at April 28, 2015

English | ISBN: 1584885947 | 2008 | 290 pages | PDF | 16 MB

Posted by **ChrisRedfield** at May 25, 2014

Published: 2002-08-28 | ISBN: 0849313384 | PDF | 288 pages | 5 MB

Posted by **tot167** at May 21, 2011

Spr ger | 2011 | ISBN: 3642194443 | 57 pages | PDF | 1 MB

Posted by **exLib** at June 22, 2009

Stanford University | 1993 | ISBN: n/a | 265 pages | PDF | 6 Mb

Describes a new quantitative method, the sequential predictive probability method, to discriminate between candidate reservoir models. Method was originally proposed in the field of applied statistics to construct an effective experimental design and is modified in this study for effective use in model discrimination in well test analysis.

Posted by **BUGSY** at May 30, 2015

English | Mar 13, 1991 | ISBN: 047152218X | 452 Pages | DJVU | 17 MB

Counting Processes and Survival Analysis explores the martingale approach to the statistical analysis of counting processes, with an emphasis on the application of those methods to censored failure time data.

Posted by **Veslefrikk** at July 29, 2014

Spr ger | 2011 | ISBN: 3642194443 | 57 pages | PDF | 1 MB

Posted by **ChrisRedfield** at Jan. 21, 2014

Published: 2011-08-12 | ISBN: 1461421330 | PDF | 135 pages | 3 MB

Posted by **AvaxGenius** at June 7, 2018

English | EPUB | 2015 | 736 Pages | ISBN : 1493926136 | 9.37 MB

The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial engineering. In doing so, it illustrates concepts using financial markets and economic data, R Labs with real-data exercises, and graphical and analytic methods for modeling and diagnosing modeling errors. These methods are critical because financial engineers now have access to enormous quantities of data.