ESTIMASI REGRESI NON PARAMETRIK DENGAN METODE WAVELET SHRINKAGE NEURAL NETWORK PADA MODEL RANCANGAN TETAP
If X is a predictor variable and Y is a response variable of following model Y = g(X) +e with function g is a regression which not yet been known and e is an independent random variable with mean 0 and variant . The function of g can be estimated by parametric and nonparametric approach. In this pa...
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Universitas Diponegoro
2009-06-01
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| Schriftenreihe: | Media Statistika |
| Online-Zugang: | https://ejournal.undip.ac.id/index.php/media_statistika/article/view/2479 |
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