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Ordered Regression Models
book

Ordered Regression Models

by Andrew S. Fullerton, Jun Xu
April 2016
Intermediate to advanced content levelIntermediate to advanced
188 pages
7h 28m
English
Chapman and Hall/CRC
Content preview from Ordered Regression Models
21
2
Parallel Models
Parallel models are ordered regression models that impose the parallel regression
constraint for every independent variable in the model. In other words, the slopes do not
vary across cutpoint equations. As a result, parallel models are “ordinal” models in the
strictest sense of the term because the parallel regression assumption ensures a strict sto-
chastic ordering (McCullagh 1980, pp. 115–116), which we discussed in detail in Chapter1.
Parallel models are also the most parsimonious ordered regression models covered in this
book. Parallel models only require the estimation of one coefcient for each independent
variable ...
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Publisher Resources

ISBN: 9781466569744