文件列表:

johnson (0, 1998-12-02)
johnson\Chapter3 (0, 1998-11-20)
johnson\Chapter3\b_probg.m (2549, 1998-11-17)
johnson\Chapter3\breg_bay.m (5247, 1998-11-17)
johnson\Chapter3\breg_mle.m (2314, 1998-11-17)
johnson\Chapter3\cmp.m (1030, 1998-11-17)
johnson\Chapter3\conduct.dat (16684, 1998-11-17)
johnson\Chapter3\conduct.hlp (467, 1998-11-17)
johnson\Chapter3\contents.m (2570, 1998-11-17)
johnson\Chapter3\donner.dat (3645, 1998-11-17)
johnson\Chapter3\donner.hlp (305, 1998-11-17)
johnson\Chapter3\educ1.dat (29000, 1998-11-17)
johnson\Chapter3\educ1.hlp (640, 1998-11-17)
johnson\Chapter3\example1.m (5385, 1998-11-17)
johnson\Chapter3\example2.m (2529, 1998-11-17)
johnson\Chapter3\lfitted.m (1290, 1998-11-17)
johnson\Chapter3\lfitted2.m (953, 1998-11-17)
johnson\Chapter3\llatent.m (1131, 1998-11-17)
johnson\Chapter3\logit_re2.m (1810, 1998-11-17)
johnson\Chapter3\pcase.dat (1377, 1998-11-17)
johnson\Chapter3\pcase.hlp (284, 1998-11-17)
johnson\Chapter3\plotfitted.m (717, 1998-11-17)
johnson\Chapter3\post_pred.m (536, 1998-11-17)
johnson\Chapter3\stat.dat (1950, 1998-11-17)
johnson\Chapter3\stat.hlp (266, 1998-11-17)
johnson\Chapter3\stat2.dat (2430, 1998-11-17)
johnson\Chapter3\stat2.hlp (359, 1998-11-17)
johnson\Chapter3\survey.dat (8195, 1998-11-17)
johnson\Chapter3\survey.hlp (5291, 1998-11-17)
johnson\Chapter3\swimmer.dat (32431, 1998-11-17)
johnson\Chapter3\swimmer.hlp (473, 1998-11-17)
johnson\Chapter4 (0, 1998-11-17)
johnson\Chapter4\sampleOrdProb.m (4683, 1998-11-17)
johnson\Chapter4\contents.m (1593, 1998-11-17)
johnson\Chapter4\educ.dat (25800, 1998-11-17)
johnson\Chapter4\educ.hlp (682, 1998-11-17)
johnson\Chapter4\example1.m (1345, 1998-11-17)
johnson\Chapter4\example2.m (1600, 1998-11-17)
johnson\Chapter4\grader.dat (25542, 1998-11-17)
johnson\Chapter4\grader.hlp (416, 1998-11-17)
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Matlab Version 5 Toolbox for Ordinal Data Modeling by Valen Johnson and James Albert Springer-Verlag, New York, 1999. This toolbox contains programs for performing all of the model fitting and model diagnostic algorithms and plots that are described in the text. All of the datasets discussed in the text and exercises are available, and there are example m-files which illustrate the use of the programs in analyzing the datasets that are discussed in the text. The programs were created using release 5 of Matlab. Each Matlab function is self-contained and the Statistics Toolbox and other utility functions are not required. The programs are organized by the chapter where the routines are used. In addition to the main progams, the toolbox contains a collection of "teaching Bayes" functions which are useful for performing calculations for the introductory chapters 1 and 2. Please direct any questions on the use of these programs to: Jim Albert Department of Mathematics and Statistics Bowling Green State University Bowling Green, OH 43403 albert@math.bgsu.edu These M-files are User Contributed Routines which are being redistributed by The MathWorks, upon request, on an "as is" basis. A User Contributed Routine is not a product of The MathWorks, Inc. and The MathWorks assumes no responsibility for any errors that may exist in these routines.

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