An Introduction to R For Statistical Analysis

An Introduction to R for Spatial Analysis and Mapping  eBooks & eLearning

Posted by interes at April 2, 2016
An Introduction to R for Spatial Analysis and Mapping

An Introduction to R for Spatial Analysis and Mapping by Chris Brunsdon and Lex Comber
English | 2015 | ISBN: 1446272958, 144627294X | 360 pages | EPUB + azw3 | 8 + 8,7 MB
An Introduction to R for Quantitative Economics: Graphing, Simulating and Computing (repost)

Vikram Dayal, "An Introduction to R for Quantitative Economics: Graphing, Simulating and Computing"
2015 | ISBN-10: 813222339X | 109 pages | PDF | 3 MB

An Introduction to R for Quantitative Economics  

Posted by Underaglassmoon at March 30, 2015
An Introduction to R for Quantitative Economics

An Introduction to R for Quantitative Economics: Graphing, Simulating and Computing
Springer | Statistics | March 19 2015 | ISBN-10: 813222339X | 109 pages | pdf | 3.47 mb

by Vikram Dayal (Author)
Managing your Patients' data in the Neonatal and Pediatric ICU: An Introduction to Databases and Statistical Analysis

Managing your Patients' data in the Neonatal and Pediatric ICU: An Introduction to Databases and Statistical Analysis
BMJ Books | ISBN: 0727918702 | 2006-05-01 | PDF | 376 pages | 12 Mb
Catching the Process Fieldbus: An Introduction to Profibus for Process Automation (repost)

Catching the Process Fieldbus: An Introduction to Profibus for Process Automation by James Powell and Henry Vandelinde
English | 2012 | ISBN: 1606503960 | 172 pages | PDF | 6 MB
An Introduction to Excel for Civil Engineers: From Engineering Theory to Excel Practice

An Introduction to Excel for Civil Engineers: From Engineering Theory to Excel Practice by Gunthar Pangaribuan
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…

Introduction to R for Quantitative Finance [Repost]  eBooks & eLearning

Posted by tanas.olesya at March 28, 2016
Introduction to R for Quantitative Finance [Repost]

Introduction to R for Quantitative Finance by Gergely Daróczi
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.

An Introduction to Thermodynamics and Statistical Mechanics  eBooks & eLearning

Posted by Underaglassmoon at Jan. 4, 2015
An Introduction to Thermodynamics and Statistical Mechanics

An Introduction to Thermodynamics and Statistical Mechanics
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.
An Introduction to Thermodynamics and Statistical Physics

Piero Olla, "An Introduction to Thermodynamics and Statistical Physics"
English | ISBN: 3319061879 | 2015 | 196 pages | PDF | 2 MB
An Introduction to Efficiency and Productivity Analysis by Dodla Sai Prasada Rao [Repost]

An Introduction to Efficiency and Productivity Analysis by Dodla Sai Prasada Rao
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).