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Ordinal Data Modeling

by Valen Johnson

 

27 Aug 2002 (Updated 21 Nov 2002)

No BSD License  

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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
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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
 

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