Separating location and dispersion in ordinal regression models
نویسندگان
چکیده
منابع مشابه
Separating Location and Dispersion in Ordinal Regression Models
In ordinal regression the focus is typically on location effects, potential variation in the distribution of the probability mass over response categories referring to stronger or weaker concentration in the middle is mostly ignored. If dispersion effects are present but ignored goodness-of-fit suffers and, more severely, biased estimates of location effects are to be expected since ordinal reg...
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ژورنال
عنوان ژورنال: Econometrics and Statistics
سال: 2017
ISSN: 2452-3062
DOI: 10.1016/j.ecosta.2016.10.002