Introduction To Statistics And Econometrics
Download Introduction To Statistics And Econometrics PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Introduction To Statistics And Econometrics book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Introduction to Statistics and Econometrics
Author: Takeshi Amemiya
language: en
Publisher: Harvard University Press
Release Date: 1994
Comic Amy Schumer performs a stand-up set in San Francisco devoted to various aspects of her sex life and her feelings about her own body. ~ Perry Seibert, Rovi
Introduction to the Mathematical and Statistical Foundations of Econometrics
Author: Herman J. Bierens
language: en
Publisher: Cambridge University Press
Release Date: 2004-12-20
This book is intended for use in a rigorous introductory PhD level course in econometrics.
Applied Econometrics with R
Author: Christian Kleiber
language: en
Publisher: Springer Science & Business Media
Release Date: 2008-12-10
R is a language and environment for data analysis and graphics. It may be considered an implementation of S, an award-winning language initially - veloped at Bell Laboratories since the late 1970s. The R project was initiated by Robert Gentleman and Ross Ihaka at the University of Auckland, New Zealand, in the early 1990s, and has been developed by an international team since mid-1997. Historically, econometricians have favored other computing environments, some of which have fallen by the wayside, and also a variety of packages with canned routines. We believe that R has great potential in econometrics, both for research and for teaching. There are at least three reasons for this: (1) R is mostly platform independent and runs on Microsoft Windows, the Mac family of operating systems, and various ?avors of Unix/Linux, and also on some more exotic platforms. (2) R is free software that can be downloaded and installed at no cost from a family of mirror sites around the globe, the Comprehensive R Archive Network (CRAN); hence students can easily install it on their own machines. (3) R is open-source software, so that the full source code is available and can be inspected to understand what it really does, learn from it, and modify and extend it. We also like to think that platform independence and the open-source philosophy make R an ideal environment for reproducible econometric research.