Tuesday, July 13, 2010

books Want to Buy

Compare  prices
Principles of Modern Psychological Measurement: A Festschrift for Frederic M. Lord Author: Howard Wainer Edition: 1 (1983) Publisher: Lawrence Erlbaum Associates hardcover: 416 pages ISBN-13: 9780898592771 (978-0-8985-9277-1) ISBN-10: 0898592771 (0-89859-277-1) Product details All editions Similar books
Nonsampling Error in Surveys (1) (Hardcover)
Author: Judith T. Lessler, William D. Kalsbeek
Edition: 1 (1992-04-23) Publisher: Wiley-Interscience Hardcover: 432 pages
ISBN-13: 9780471869085 ISBN-10: 0471869082 List price: $199.00
20 new from $150.00 11 used from $75.03
Measurement Errors In Surveys (New Ed) (Paperback)
Author: Paul P. Biemer, Robert M. Groves, Lars E. Lyberg, Nancy A. Mathiowetz, Seymour Sudman
Edition: New Ed (2004-09-03) Other editions Publisher: Wiley-Interscience Paperback: 760 pages
ISBN-13: 9780471692805 ISBN-10: 0471692808 List price: $116.50
19 new from $90.00 10 used from $90.00 3 rental from $62.99

Monday, April 12, 2010

JAGS

Working on simulation for a paper, I use JAGS fro cross-verification. 1. http://www-fis.iarc.fr/~martyn/software/jags/ get 1.03 package for windows it seems that 1.04 has been released but not available for windows yet. http://calvin.iarc.fr/wordpress/ 2. http://www-fis.iarc.fr/~martyn/software/jags/ for installation and example a short intro with an example www.stat.ufl.edu/~rsteorts/jags_present.pdf

Saturday, April 10, 2010

logistic regression and classification/PS

Walker and Duncan (1967) longitudinal logistic classification model. 1. data collected in a 10-year period 2. number of variables is huge The observations are not independent to one another; model selection and variable reduction; Cornfield ( 1962) argued that "The use of a mathematical model which summarizes the observations in a small number of disposable parameters seems to offer the only present hope of obtaining quantitative answers to questions of interest". If the parameters are disposable, how would we know it is replicable and reliable? And how much the results (classification results) based on the disposable parameters are reliable? Is this, related to or set up the theoretical tone for, sample-based classification modeling (internal classification)?