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Processing of Experimental Data by Means of Nonparametric Statistics
| Content Provider | Scilit |
|---|---|
| Author | Syzrantsev, V. Syzrantseva, K. |
| Copyright Year | 2018 |
| Description | Journal: Journal of Physics: Conference Series The article is dedicated to development of algorithms for recovery of the unknown function of the experimental data distribution density on the basis of nonparametric statistics, i.e. Parzen-Rosenblatt estimates. The results of the algorithms are illustrated by examples of gas pipeline pressures processing and the number of cycles prior to samples failure during their durability tests. |
| Related Links | http://iopscience.iop.org/article/10.1088/1742-6596/1059/1/012019/pdf |
| ISSN | 17426588 |
| e-ISSN | 17426596 |
| DOI | 10.1088/1742-6596/1059/1/012019 |
| Journal | Journal of Physics: Conference Series |
| Issue Number | 1 |
| Volume Number | 1059 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2018-07-19 |
| Access Restriction | Open |
| Subject Keyword | Journal: Journal of Physics: Conference Series Statistics and Probability Experimental Data Nonparametric Statistics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Physics and Astronomy |