Understanding the spatiotemporal sample
| dc.contributor.author | Kovácsné Székely, Ilona | |
| dc.date.accessioned | 2024-09-04T09:45:21Z | |
| dc.date.available | 2024-09-04T09:45:21Z | |
| dc.date.issued | 2006-06-01 | |
| dc.description.abstract | One of the most fundamental concept of statistics is the (random) sample. Our experience – acquired during the years of undergraduate education – showed that prior to industrial practice, the students in geology (and, most probably, in many other non-mathematics oriented disciplines as well) are often confused by the possible multiple interpretation of the sample. The confusion increases even further, when samples from stationary temporal, spatial or spatio-temporal phenomena are considered. Our goal in the present paper is to give a viable alternative to this overly mathematical approach, which is proven to be far too demanding for geologist students. Using the results of an environmental pollution analysis we tried to show the notion of the spatiotemporal sample and some of its basic characteristics. On the basis of these considerations we give the definition of the spatiotemporal sample in order to be satisfactory from both the theoretical and the practical points of view. | en |
| dc.format | application/pdf | |
| dc.identifier.citation | Teaching Mathematics and Computer Science, Vol. 4 No. 1 (2006) , 89-99 | |
| dc.identifier.doi | https://doi.org/10.5485/TMCS.2006.0104 | |
| dc.identifier.eissn | 2676-8364 | |
| dc.identifier.issn | 1589-7389 | |
| dc.identifier.issue | 1 | |
| dc.identifier.jatitle | Teach. Math. Comp. Sci. | |
| dc.identifier.jtitle | Teaching Mathematics and Computer Science | |
| dc.identifier.uri | https://hdl.handle.net/2437/379570 | |
| dc.identifier.volume | 4 | |
| dc.language | en | |
| dc.relation | https://ojs.lib.unideb.hu/tmcs/article/view/14760 | |
| dc.rights.access | Open Access | |
| dc.rights.owner | Ilona Kovácsné Székely | |
| dc.subject | spatiotemporal sample | en |
| dc.subject | random phenomenon | en |
| dc.subject | non-mathematics students | en |
| dc.title | Understanding the spatiotemporal sample | en |
| dc.type | folyóiratcikk | hu |
| dc.type | article | en |
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