Assessing cumulative logit models via a score test in random effect models
The purpose of this article is to develop a goodness-of-fit test based on score test statistics for cumulative logit models with extra variation of random effects. Two main theorems for the proposed score test statistics are derived. In simulation studies, the powers of the proposed
tests are discussed and the power curve against a variety of dispersion parameters and bandwidths is depicted. The proposed method is illustrated by an ordinal data set from Mosteller and Tukey [23].
Keywords: cumulative logit models; local linear smoother; ordinal score; power; score test
Document Type: Research Article
Affiliations: Graduate Institute of Business and Management, Tainan University of Technology, Tainan, Taiwan, Republic of China
Publication date: 01 February 2011
- Access Key
- Free content
- Partial Free content
- New content
- Open access content
- Partial Open access content
- Subscribed content
- Partial Subscribed content
- Free trial content