| Автор | Titterington, D.M. |
| Автор | Bowman, A.W. |
| Дата выпуска | 1985 |
| dc.description | Methods for estimating probabilities on sample spaces for ordered-categorical variables are surveyed. The methods all involve smoothing the relative frequencies in manners which recognise the ordering among categories. Approaches of this type include convex smoothing, weighting-function and kernel-based methods, near neighbour methods, Bayes-based methods and penalized minimum-distance methods. The relationships among the methods are brought out, application is made to a medical example and a simulation study is reported which compares the methods on univariate and bivariate examples. Links with smoothing procedures in other contexts are indicated. |
| Формат | application.pdf |
| Издатель | Gordon and Breach Science Publishers |
| Копирайт | Copyright Taylor and Francis Group, LLC |
| Тема | Ordered-categories |
| Тема | density estimation |
| Тема | convex smoothing |
| Тема | kernel methods |
| Тема | minimum penalized distance |
| Тема | near neighbour methods |
| Тема | crossvalidation |
| Название | A comparative study of smoothing procedures for ordered categorical data |
| Тип | research-article |
| DOI | 10.1080/00949658508810821 |
| Electronic ISSN | 1563-5163 |
| Print ISSN | 0094-9655 |
| Журнал | Journal of Statistical Computation and Simulation |
| Том | 21 |
| Первая страница | 291 |
| Последняя страница | 312 |
| Аффилиация | Titterington, D.M.; Department of Statistics, University of Glasgow |
| Аффилиация | Bowman, A.W.; Statistical Laboratory,Department of Mathematics, University of Manchester |
| Выпуск | 3-4 |
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