Posted by **interes** at April 2, 2016

English | 2015 | ISBN: 1446272958, 144627294X | 360 pages | EPUB + azw3 | 8 + 8,7 MB

Posted by **arundhati** at May 25, 2015

2015 | ISBN-10: 813222339X | 109 pages | PDF | 3 MB

Posted by **Underaglassmoon** at March 30, 2015

Springer | Statistics | March 19 2015 | ISBN-10: 813222339X | 109 pages | pdf | 3.47 mb

by Vikram Dayal (Author)

Posted by **takish** at Nov. 23, 2008

BMJ Books | ISBN: 0727918702 | 2006-05-01 | PDF | 376 pages | 12 Mb

Posted by **libr** at Dec. 7, 2016

English | 2012 | ISBN: 1606503960 | 172 pages | PDF | 6 MB

Posted by **AlenMiler** at Sept. 1, 2016

English | 16 Aug. 2016 | ISBN: 1537137719, 1535196521 | 386 Pages | PDF (True) | 28.64 MB

It's a must have standard engineering book that should have read many years ago. It addresses many articles that may not be covered by any Excel for engineering texts, such as step by step guides to create an application program and how to convert the steps into VBA code, how to perform matrix operations, macro for creating an engineering chart, a brief and simple guide to become an instant Excel-VBA programmer, and more…

Posted by **tanas.olesya** at March 28, 2016

English | 22 Nov. 2013 | ISBN: 178328093X | 164 Pages | PDF/EPUB/MOBI | 4/4/6 MB

R is a statistical computing language that's ideal for answering quantitative finance questions. This book gives you both theory and practice, all in clear language with stacks of real-world examples. Ideal for R beginners or expert alike.

Posted by **Underaglassmoon** at Jan. 4, 2015

English | Physics, Mathematics | 10. May 2007 | ISBN-10: 0521865573 | 572 pages | Djvu | 5.9 mb

This introductory textbook for standard undergraduate courses in thermodynamics has been completely rewritten to explore a greater number of topics, more clearly and concisely.

Posted by **roxul** at Nov. 14, 2014

English | ISBN: 3319061879 | 2015 | 196 pages | PDF | 2 MB

Posted by **tanas.olesya** at Nov. 10, 2014

Springer; 2nd edition | July 22, 2005 | English | ISBN: 0387242651 | 341 pages | PDF | 14 MB

An Introduction to Efficiency and Productivity Analysis is designed to be a general introduction for those who wish to study efficiency and productivity analysis. The book provides an accessible, well-written introduction to the four principal methods involved: econometric estimation of average response models; index numbers, data envelopment analysis (DEA); and stochastic frontier analysis (SFA).