| dc.contributor.author |
Васєчко, О.О. |
|
| dc.contributor.author |
Гран-Реомм, М. |
|
| dc.date.accessioned |
2016-09-05T09:21:45Z |
|
| dc.date.available |
2016-09-05T09:21:45Z |
|
| dc.date.issued |
2015-06 |
|
| dc.identifier.other |
УДК 311.13:519.246.8 |
|
| dc.identifier.uri |
http://194.44.12.92:8080/jspui/handle/123456789/1777 |
|
| dc.description |
Methods based on the moving averages are largely used for times series filters construction . Yet, the times series endpoints are too sensitive to the type of the method used. A preferable method is supposed to be chosen by a statistician according to his/her experience and competency The article aims to study the issue of choice of a method of time series decomposition by comparing the existing approaches The issue of endpoints
adjusting by use of Henderson smoother is discussed, and a new smoothing based on Epanechnikov kernel is presented. |
ru_RU |
| dc.description.abstract |
Проблема коригування останніх рівнів часового ряду. / О.О. Васєчко, М. Гран-Реомм // Щоквартальний науково-інформаційний журнал "Статистика України".-2015.-№2(69)-С.4-10 |
ru_RU |
| dc.language.iso |
uk |
ru_RU |
| dc.publisher |
НДІ статистичних досліджень |
ru_RU |
| dc.subject |
endpoints of times series |
ru_RU |
| dc.subject |
kernel smoothing |
ru_RU |
| dc.title |
Проблема коригування останніх рівнів часового ряду. |
ru_RU |
| dc.title.alternative |
Endpoints Issue in Time Series Adjusting |
ru_RU |
| dc.type |
Article |
ru_RU |