Discriminant analysis when all variables are ordered
| العنوان: | Discriminant analysis when all variables are ordered |
|---|---|
| المؤلفون: | S. S. Seshia, B. Johnston |
| المصدر: | Statistics in Medicine. 11:1023-1032 |
| بيانات النشر: | Wiley, 1992. |
| سنة النشر: | 1992 |
| مصطلحات موضوعية: | Statistics and Probability, Epidemiology, media_common.quotation_subject, Ocular Motility Disorders, Discriminant function analysis, Seizures, Software Design, Linear regression, Statistics, Craniocerebral Trauma, Humans, Mathematics, media_common, Multiple discriminant analysis, Variables, Decision Trees, Discriminant Analysis, Reproducibility of Results, Regression analysis, Linear discriminant analysis, Logistic Models, Evaluation Studies as Topic, Optimal discriminant analysis, Linear Models, Kernel Fisher discriminant analysis, Psychomotor Performance |
| الوصف: | Determination of the equation that relates an ordered dependent variable to ordered independent variables is sought. One solution, non-parametric discriminant analysis (NPD), involves obtaining the best monotonic step function by means of a computer search procedure. Although one can use alternative selection criteria in obtaining the equation, the illustrative examples use absolute distance. This paper compares the prediction procedures obtained from NPD with those from linear discriminant analysis, linear regression (with and without transformed variables), and logistic regression. We show that NPD is analogous to regression tree analysis with incorporation of ordered variables and monotonicity. We use various prediction functions to predict the example data, the data using the leave-one-out technique, and a verification set. Consistently, non-parametric discriminant analysis performs as good as or better than the tested alternatives. |
| تدمد: | 1097-0258 0277-6715 |
| DOI: | 10.1002/sim.4780110804 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31600de866d8136fb02ae9110592f40a https://doi.org/10.1002/sim.4780110804 |
| Rights: | CLOSED |
| رقم الانضمام: | edsair.doi.dedup.....31600de866d8136fb02ae9110592f40a |
| قاعدة البيانات: | OpenAIRE |
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