APPLICATION OF THE BOOTSTRAP METHOD ON A LARGE INPUT DATA SET - CASE STUDY ON THE WESTERN PART OF THE SAVA DEPRESSION
The bootstrap method is a nonparametric statistical method that through the resampling of an input data set provides the ability to obtain a new data set that is normally distributed. Due to various factors, it is difficult to obtain many data sets for deep geological data, and in most cases, they a...
Tallennettuna:
| Päätekijät: | , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
University of Zagreb
2021-01-01
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| Sarja: | Rudarsko-geološko-naftni Zbornik |
| Aiheet: | |
| Linkit: | https://hrcak.srce.hr/file/386769 |
| Tagit: |
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