Be the first to rate this file! 22 downloads (last 30 days) File Size: 132.65 KB File ID: #2264

Ordinal Data Modeling

by Valen Johnson

 

27 Aug 2002 (Updated 21 Nov 2002)

No BSD License  

Companion Software

Download Now | Watch this File

File Information
Description

Written for graduate students and researchers in the statistical and social sciences, this book describes a coherent framework for understanding binary and ordinal regression models, item response models, graded response models, and ROC analyses, and for exposing the close connection between these models.

For a full book description and ordering information, please refer to http://www.mathworks.com/support/books/book1593.jsp.

MATLAB release MATLAB 5.2 (R10)
Zip File Content  
Other Files
johnson/Chapter3/b_probg.m,
johnson/Chapter3/breg_bay.m,
johnson/Chapter3/breg_mle.m,
johnson/Chapter3/cmp.m,
johnson/Chapter3/conduct.dat,
johnson/Chapter3/conduct.hlp,
johnson/Chapter3/contents.m,
johnson/Chapter3/donner.dat,
johnson/Chapter3/donner.hlp,
johnson/Chapter3/educ1.dat,
johnson/Chapter3/educ1.hlp,
johnson/Chapter3/example1.m,
johnson/Chapter3/example2.m,
johnson/Chapter3/lfitted.m,
johnson/Chapter3/lfitted2.m,
johnson/Chapter3/llatent.m,
johnson/Chapter3/logit_re2.m,
johnson/Chapter3/pcase.dat,
johnson/Chapter3/pcase.hlp,
johnson/Chapter3/plotfitted.m,
johnson/Chapter3/post_pred.m,
johnson/Chapter3/stat.dat,
johnson/Chapter3/stat.hlp,
johnson/Chapter3/stat2.dat,
johnson/Chapter3/stat2.hlp,
johnson/Chapter3/survey.dat,
johnson/Chapter3/survey.hlp,
johnson/Chapter3/swimmer.dat,
johnson/Chapter3/swimmer.hlp,
johnson/Chapter4/sampleOrdProb.m,
johnson/Chapter4/contents.m,
johnson/Chapter4/educ.dat,
johnson/Chapter4/educ.hlp,
johnson/Chapter4/example1.m,
johnson/Chapter4/example2.m,
johnson/Chapter4/grader.dat,
johnson/Chapter4/grader.hlp,
johnson/Chapter4/norm_plot.m,
johnson/Chapter4/o_post_pred.m,
johnson/Chapter4/ordinalMLE.m,
johnson/Chapter4/ostat.dat,
johnson/Chapter4/ostat.hlp,
johnson/Chapter4/ostat2.dat,
johnson/Chapter4/ostat2.hlp,
johnson/Chapter4/plotfit.m,
johnson/Chapter4/sampleOrdInform.m,
johnson/Chapter4/skotko.dat,
johnson/Chapter4/skotko.hlp,
johnson/Chapter4/skotko1.dat,
johnson/Chapter4/skotko2.dat,
johnson/Chapter5/contents.m,
johnson/Chapter5/essay.hlp,
johnson/Chapter5/essay.mat,
johnson/Chapter5/example1.m,
johnson/Chapter5/example2.m,
johnson/Chapter5/roc.hlp,
johnson/Chapter5/roc.m,
johnson/Chapter5/roc.mat,
johnson/Chapter5/sampleMulti.m,
johnson/Chapter5/sampReg.m,
johnson/Chapter5/survey.dat,
johnson/Chapter5/survey.hlp,
johnson/Chapter6/contents.m,
johnson/Chapter6/example.m,
johnson/Chapter6/ir_curve.m,
johnson/Chapter6/irtobs.m,
johnson/Chapter6/irtpost.m,
johnson/Chapter6/item_r.m,
johnson/Chapter6/item_r1.m,
johnson/Chapter6/item_r_h.m,
johnson/Chapter6/l_itemr.m,
johnson/Chapter6/place98.dat,
johnson/Chapter6/place98.hlp,
johnson/Chapter6/plotpost.m,
johnson/Chapter6/ratings.dat,
johnson/Chapter6/ratings.hlp,
johnson/Chapter6/phi.m,
johnson/Matlab_intro/data_analysis.m,
johnson/Teaching_Bayes/Examples/Discrete_models/example1.m,
johnson/Teaching_Bayes/Examples/Discrete_models/example2.m,
johnson/Teaching_Bayes/Examples/Discrete_models/example3.m,
johnson/Teaching_Bayes/Examples/Discrete_models/example4.m,
johnson/Teaching_Bayes/Examples/Relationships/example2.m,
johnson/Teaching_Bayes/Examples/Relationships/example1.m,
johnson/Teaching_Bayes/Examples/Bayes_rule/example1.m,
johnson/Teaching_Bayes/Examples/Bayes_rule/example2.m,
johnson/Teaching_Bayes/Examples/Continuous_models/example1.m,
johnson/Teaching_Bayes/Examples/Continuous_models/example2.m,
johnson/Teaching_Bayes/Examples/Continuous_models/Rbeta.m,
johnson/Teaching_Bayes/Examples/Mean_inference/example1.m,
johnson/Teaching_Bayes/Examples/Mean_inference/example2.m,
johnson/Teaching_Bayes/Examples/Mean_inference/example3.m,
johnson/Teaching_Bayes/Examples/Mean_inference/example4.m,
johnson/Teaching_Bayes/Examples/Proportion_inference/example1.m,
johnson/Teaching_Bayes/Examples/Proportion_inference/example2.m,
johnson/Teaching_Bayes/Examples/Proportion_inference/example3.m,
johnson/Teaching_Bayes/Examples/Proportion_inference/example4.m,
johnson/Teaching_Bayes/Examples/Proportion_inference/example5.m,
johnson/Teaching_Bayes/Examples/Proportion_inference/example6.m,
johnson/Teaching_Bayes/Examples/Proportion_inference/example7.m,
johnson/Teaching_Bayes/Examples/Summarizing_posterior/example1.m,
johnson/Teaching_Bayes/Examples/Summarizing_posterior/example2.m,
johnson/Teaching_Bayes/Examples/Summarizing_posterior/example3.m,
johnson/Teaching_Bayes/Examples/Summarizing_posterior/logpost1.m,
johnson/Teaching_Bayes/Examples/Summarizing_posterior/Logpost2.m,
johnson/Teaching_Bayes/Examples/Summarizing_posterior/logpost3.m,
johnson/Teaching_Bayes/Examples/Two_proportion_inference/example1.m,
johnson/Teaching_Bayes/Examples/Two_proportion_inference/example2.m,
johnson/Teaching_Bayes/Examples/Two_proportion_inference/example3.m,
johnson/Teaching_Bayes/Examples/Two_proportion_inference/example4.m,
johnson/Teaching_Bayes/Examples/Two_proportion_inference/example5.m,
johnson/Teaching_Bayes/Toolbox/Ad_quad1.m,
johnson/Teaching_Bayes/Toolbox/Ad_quad2.m,
johnson/Teaching_Bayes/Toolbox/Bay_reg.m,
johnson/Teaching_Bayes/Toolbox/Bayes.m,
johnson/Teaching_Bayes/Toolbox/Beta_sel.m,
johnson/Teaching_Bayes/Toolbox/C_table.m,
johnson/Teaching_Bayes/Toolbox/Contents.m,
johnson/Teaching_Bayes/Toolbox/Disc_int.m,
johnson/Teaching_Bayes/Toolbox/Gibbs.m,
johnson/Teaching_Bayes/Toolbox/gpdisc.m,
johnson/Teaching_Bayes/Toolbox/gpdisc.mat,
johnson/Teaching_Bayes/Toolbox/Laplace.m,
johnson/Teaching_Bayes/Toolbox/Logpost2.m,
johnson/Teaching_Bayes/Toolbox/M_cont.m,
johnson/Teaching_Bayes/Toolbox/M_disc.m,
johnson/Teaching_Bayes/Toolbox/M_norm_t.m,
johnson/Teaching_Bayes/Toolbox/Metrop.m,
johnson/Teaching_Bayes/Toolbox/Mod_cont.m,
johnson/Teaching_Bayes/Toolbox/Mod_crit.m,
johnson/Teaching_Bayes/Toolbox/Mod_disc.m,
johnson/Teaching_Bayes/Toolbox/Normal_s.m,
johnson/Teaching_Bayes/Toolbox/P_beta_p.m,
johnson/Teaching_Bayes/Toolbox/P_beta_t.m,
johnson/Teaching_Bayes/Toolbox/P_disc.m,
johnson/Teaching_Bayes/Toolbox/P_disc_p.m,
johnson/Teaching_Bayes/Toolbox/P_hist_p.m,
johnson/Teaching_Bayes/Toolbox/Pp_bet_t.m,
johnson/Teaching_Bayes/Toolbox/Pp_disc.m,
johnson/Teaching_Bayes/Toolbox/Pp_exch.m,
johnson/Teaching_Bayes/Toolbox/Pp_prior.m,
johnson/readme,
johnson/readme.txt
Tags for This File  
Everyone's Tags
Tags I've Applied
Add New Tags Please login to tag files.
Please login to add a comment or rating.
Tag Activity for this File
Tag Applied By Date/Time
statistics Valen Johnson 22 Oct 2008 06:49:54
probability Valen Johnson 22 Oct 2008 06:49:54
ordinal data Valen Johnson 22 Oct 2008 06:49:55
data modeling Valen Johnson 22 Oct 2008 06:49:55
regression models Valen Johnson 22 Oct 2008 06:49:55
 

MATLAB Central Terms of Use

NOTICE: Any content you submit to MATLAB Central, including personal information, is not subject to the protections which may be afforded information collected under other sections of The MathWorks, Inc. Web site. You are entirely responsible for all content that you upload, post, e-mail, transmit or otherwise make available via MATLAB Central. The MathWorks does not control the content posted by visitors to MATLAB Central and, does not guarantee the accuracy, integrity, or quality of such content. Under no circumstances will The MathWorks be liable in any way for any content not authored by The MathWorks, or any loss or damage of any kind incurred as a result of the use of any content posted, e-mailed, transmitted or otherwise made available via MATLAB Central. Read the complete Terms prior to use.

Contact us at files@mathworks.com