Posted by **bookwarrior** at Jan. 7, 2016

2009 | 362 Pages | ISBN: 1597180459 | scanned PDF | 32 MB

Posted by **bookwyrm** at Dec. 6, 2015

2009 | 362 Pages | ISBN: 1597180459 | scanned PDF | 31 MB

Posted by **bookwarrior** at Oct. 20, 2015

2009 | 362 Pages | ISBN: 1597180459 | scanned PDF | 32 MB

Posted by **leonardo78** at Aug. 8, 2017

Language: English | 2006 | ISBN: 1597180130 | 341 pages | PDF | 37,3 MB

Integrating a contemporary approach to econometrics with the powerful computational tools offered by Stata, An Introduction to Modern Econometrics Using Stata focuses on the role of method-of-moments estimators, hypothesis testing, and specification analysis and provides practical examples that show how the theories are applied to real data sets using Stata.

Posted by **interes** at Jan. 28, 2017

English | 2015 | ISBN: 178217317X | 176 pages | True PDF | 5 MB

Posted by **AlenMiler** at Oct. 30, 2015

English | 30 Oct. 2015 | ISBN: 178217317X | 176 Pages | AZW3 (Kindle)/HTML/EPUB/PDF (conv) | 53 MB

This book is for all the professionals and students who want to learn STATA programming and apply predictive modelling concepts. This book is also very helpful for experienced STATA programmers as it provides advanced statistical modelling concepts and their application.

Posted by **interes** at Jan. 31, 2013

2006 | ISBN : 1597180130 | 2006 | 341 pages | PDF | 37 MB

Integrating a contemporary approach to econometrics with the powerful computational tools offered by Stata, An Introduction to Modern Econometrics Using Stata focuses on the role of method-of-moments estimators, hypothesis testing, and specification analysis and provides practical examples that show how the theories are applied to real data sets using Stata.

Posted by **Cuthalion** at Dec. 13, 2008

Publisher: Stata Press | ISBN: 1597180130 | 2006 | PDF | 349 Pages | 19 Mb

Posted by **scutter** at Dec. 24, 2017

StataCorp LP. has updated Stata 14.2 (Revision 19 Dec, 2017) , is a complete, integrated statistical software package that provides everything you need for data analysis, data management, and graphics.

Posted by **AvaxGenius** at Nov. 26, 2017

English | PDF,EPUB | 2017 | 359 Pages | ISBN : 1484231708 | 5.33 MB

Get started with Julia for engineering and numerical computing, especially data science, machine learning, and scientific computing applications. This book explains how Julia provides the functionality, ease-of-use and intuitive syntax of R, Python, MATLAB, SAS, or Stata combined with the speed, capacity, and performance of C, C++, or Java. You’ll learn the OOP principles required to get you started, then how to do basic mathematics with Julia. Other core functionality of Julia that you’ll cover, includes working with complex numbers, rational and irrational numbers, rings, and fields.