Stata Programming

An Introduction to Stata Programming (Repost)  eBooks & eLearning

Posted by bookwarrior at Jan. 7, 2016
An Introduction to Stata Programming (Repost)

An Introduction to Stata Programming By Christopher F. Baum
2009 | 362 Pages | ISBN: 1597180459 | scanned PDF | 32 MB

An Introduction to Stata Programming (Repost)  eBooks & eLearning

Posted by bookwyrm at Dec. 6, 2015
An Introduction to Stata Programming (Repost)

An Introduction to Stata Programming By Christopher F. Baum
2009 | 362 Pages | ISBN: 1597180459 | scanned PDF | 31 MB

An Introduction to Stata Programming  eBooks & eLearning

Posted by bookwarrior at Oct. 20, 2015
An Introduction to Stata Programming

An Introduction to Stata Programming By Christopher F. Baum
2009 | 362 Pages | ISBN: 1597180459 | scanned PDF | 32 MB

An Introduction to Modern Econometrics Using Stata (Repost)  eBooks & eLearning

Posted by leonardo78 at Aug. 8, 2017
An Introduction to Modern Econometrics Using Stata (Repost)

An Introduction to Modern Econometrics Using Stata by Christopher F. Baum
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.

Data Analysis with STATA  eBooks & eLearning

Posted by interes at Jan. 28, 2017
Data Analysis with STATA

Data Analysis with STATA by Prasad Kothari
English | 2015 | ISBN: 178217317X | 176 pages | True PDF | 5 MB

Data Analysis with Stata  eBooks & eLearning

Posted by AlenMiler at Oct. 30, 2015
Data Analysis with Stata

Data Analysis with STATA by Prasad Kothari
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.

An Introduction to Modern Econometrics Using Stata (repost)  eBooks & eLearning

Posted by interes at Jan. 31, 2013
An Introduction to Modern Econometrics Using Stata (repost)

Christopher F. Baum, "An Introduction to Modern Econometrics Using Stata"
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.

An Introduction to Modern Econometrics Using Stata by Christopher F. Baum  eBooks & eLearning

Posted by Cuthalion at Dec. 13, 2008
An Introduction to Modern Econometrics Using Stata by Christopher F. Baum

An Introduction to Modern Econometrics Using Stata by Christopher F. Baum
Publisher: Stata Press | ISBN: 1597180130 | 2006 | PDF | 349 Pages | 19 Mb

StataCorp Stata 14.2 (Revision 19 Dec 2017)  Software

Posted by scutter at Dec. 24, 2017
StataCorp Stata 14.2 (Revision 19 Dec 2017)

StataCorp Stata 14.2 (Revision 19 Dec 2017) | 1.5 Gb

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.

Beginning Julia Programming: For Engineers and Scientists  eBooks & eLearning

Posted by AvaxGenius at Nov. 26, 2017
Beginning Julia Programming: For Engineers and Scientists

Beginning Julia Programming: For Engineers and Scientists By Sandeep Nagar
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.