Displaying 4 results from an estimated 4 matches for "stefanski".
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stefani
2008 Jan 28
2
Package simex
Dear R-helpers,
It is not clear to me how you get measurement.error SD when you have a
single dataset, and it is not clear to me how sensitive SIMEX is to
errors in the estimates of measurement error.
Could someone please point me to the relevant literature?
_____________________________
Professor Michael Kubovy
University of Virginia
Department of Psychology
USPS: P.O.Box 400400
2009 Mar 07
6
using a noisy variable in regression (not an R question)
Hi, This is not an R question, but I've seen opinions given on non R
topics, so I wanted
to give it a try. :)
How would one treat a variable that was measured once, but is known to
fluctuate a lot?
For example, I want to include a hormone in my regression as an
explanatory variable. However, this
hormone varies in its levels throughout a day. Nevertheless, its levels differ
substantially
2006 Oct 31
0
ANNOUNCEMENT: 20% Discount on the Latest R Books from Chapman & Hall/CRC Press
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Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition
Raymond J. Carroll, Texas A & M University, College Station, USA
David Ruppert, Cornell University, Ithaca, New York, USA
Leonard A. Stefanski, North Carolina State University, Raleigh, USA
Ciprian M. Crainiceanu, John Hopkins University, Baltimore, Maryland, USA
Discounted Price: $71.95/?39.99
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2007 Mar 05
0
ANNOUNCEMENT: 20% Discount on R books from Chapman & Hall/CRC Press
...http://www.crcpress.com/shopping_cart/products/product_detail.asp?sku=C5874
***
Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition
Raymond J. Carroll, Texas A & M University, College Station, USA
David Ruppert, Cornell University, Ithaca, New York, USA
Leonard A. Stefanski, North Carolina State University, Raleigh, USA
Ciprian M. Crainiceanu, John Hopkins University, Baltimore, Maryland, USA
Publication Date: 6/21/2006
Number of Pages: 488
New to this edition is greatly expanded discussion and applications of Bayesian computation via Markov Chain Monte Carlo tec...