1# Library to Find Best eBook for Read
Author : Xiaolei Zhou
Release : 2003
Genre : Dissertations, Academic
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Alternative Regression Models for Correlated Binary Responses by : Xiaolei Zhou
Download or read book Alternative Regression Models for Correlated Binary Responses written by Xiaolei Zhou. This book was released on 2003. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jeffrey R. Wilson
Release :
Genre :
Kind : eBook
Book Rating : 270/5 ( reviews)
Book Synopsis Modeling Binary Correlated Responses by : Jeffrey R. Wilson
Download or read book Modeling Binary Correlated Responses written by Jeffrey R. Wilson. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt:
Author : Martin Spieß
Release : 1995
Genre :
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis A Comparison of Different Methods for the Estimation of Regression Models with Correlated Binary Responses by : Martin Spieß
Download or read book A Comparison of Different Methods for the Estimation of Regression Models with Correlated Binary Responses written by Martin Spieß. This book was released on 1995. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Martin Spiess
Release : 1995
Genre :
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Regression Models with Correlated Binary Response Variables: a Comparison of Different Methods in Finite Samples by : Martin Spiess
Download or read book Regression Models with Correlated Binary Response Variables: a Comparison of Different Methods in Finite Samples written by Martin Spiess. This book was released on 1995. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Christian Kleiber
Release : 2008-12-10
Genre : Business & Economics
Kind : eBook
Book Rating : 185/5 ( reviews)
Book Synopsis Applied Econometrics with R by : Christian Kleiber
Download or read book Applied Econometrics with R written by Christian Kleiber. This book was released on 2008-12-10. Available in PDF, EPUB and Kindle. Book excerpt: 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.
