On local linear estimation in nonparametric errors-in-variables models
Local linear methods are applied to a nonparametric regression model with normal errors in the variables and uniform distribution of the variables. The local neighborhood is determined with help of deconvolution kernels. Two different linear estimation method are used: the naive estimator and the to...
Збережено в:
| Дата: | 2007 |
|---|---|
| Автор: | |
| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
Інститут математики НАН України
2007
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| Онлайн доступ: | http://dspace.nbuv.gov.ua/handle/123456789/4500 |
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| Назва журналу: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Цитувати: | On local linear estimation in nonparametric errors-in-variables models / S. Zwanzig // Theory of Stochastic Processes. — 2007. — Т. 13 (29), № 1-2. — С. 316-327. — Бібліогр.: 5 назв.— англ. |
Репозитарії
Digital Library of Periodicals of National Academy of Sciences of Ukraine| id |
irk-123456789-4500 |
|---|---|
| record_format |
dspace |
| spelling |
irk-123456789-45002009-11-20T12:00:38Z On local linear estimation in nonparametric errors-in-variables models Zwanzig, S. Local linear methods are applied to a nonparametric regression model with normal errors in the variables and uniform distribution of the variables. The local neighborhood is determined with help of deconvolution kernels. Two different linear estimation method are used: the naive estimator and the total least squares estimator. Both local linear estimators are consistent. But only the local naive estimator delivers an estimation of the tangent. 2007 Article On local linear estimation in nonparametric errors-in-variables models / S. Zwanzig // Theory of Stochastic Processes. — 2007. — Т. 13 (29), № 1-2. — С. 316-327. — Бібліогр.: 5 назв.— англ. 0321-3900 http://dspace.nbuv.gov.ua/handle/123456789/4500 en Інститут математики НАН України |
| institution |
Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| collection |
DSpace DC |
| language |
English |
| description |
Local linear methods are applied to a nonparametric regression model with normal errors in the variables and uniform distribution of the variables. The local neighborhood is determined with help of deconvolution kernels. Two different linear estimation method are used: the naive estimator and the total least squares estimator. Both local linear estimators are consistent. But only the local naive estimator delivers an estimation of the tangent. |
| format |
Article |
| author |
Zwanzig, S. |
| spellingShingle |
Zwanzig, S. On local linear estimation in nonparametric errors-in-variables models |
| author_facet |
Zwanzig, S. |
| author_sort |
Zwanzig, S. |
| title |
On local linear estimation in nonparametric errors-in-variables models |
| title_short |
On local linear estimation in nonparametric errors-in-variables models |
| title_full |
On local linear estimation in nonparametric errors-in-variables models |
| title_fullStr |
On local linear estimation in nonparametric errors-in-variables models |
| title_full_unstemmed |
On local linear estimation in nonparametric errors-in-variables models |
| title_sort |
on local linear estimation in nonparametric errors-in-variables models |
| publisher |
Інститут математики НАН України |
| publishDate |
2007 |
| url |
http://dspace.nbuv.gov.ua/handle/123456789/4500 |
| citation_txt |
On local linear estimation in nonparametric errors-in-variables models / S. Zwanzig // Theory of Stochastic Processes. — 2007. — Т. 13 (29), № 1-2. — С. 316-327. — Бібліогр.: 5 назв.— англ. |
| work_keys_str_mv |
AT zwanzigs onlocallinearestimationinnonparametricerrorsinvariablesmodels |
| first_indexed |
2023-03-24T08:30:25Z |
| last_indexed |
2023-03-24T08:30:25Z |
| _version_ |
1796139187128238080 |