A general class of sequential models for the analysis of ordered categorical variables ie developed and discussed. The models apply if the ordinal response may be subdivided into two or more meaningful sets of response categorim. The parametrizetion explicitly makes use of this subdivision. The mode
Higher-order Markov chain models for categorical data sequences
β Scribed by Wai Ki Ching; Eric S. Fung; Michael K. Ng
- Publisher
- John Wiley and Sons
- Year
- 2004
- Tongue
- English
- Weight
- 139 KB
- Volume
- 51
- Category
- Article
- ISSN
- 0894-069X
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