Title:
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Exponential smoothing based on L-estimation (English) |
Author:
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Bejda, Přemysl |
Author:
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Cipra, Tomáš |
Language:
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English |
Journal:
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Kybernetika |
ISSN:
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0023-5954 (print) |
ISSN:
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1805-949X (online) |
Volume:
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51 |
Issue:
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6 |
Year:
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2015 |
Pages:
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973-993 |
Summary lang:
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English |
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Category:
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math |
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Summary:
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Robust methods similar to exponential smoothing are suggested in this paper. First previous results for exponential smoothing in $L_1$ are generalized using the regression quantiles, including a generalization to more parameters. Then a method based on the classical sign test is introduced that should deal not only with outliers but also with level shifts, including a detection of change points. Properties of various approaches are investigated by means of a simulation study. A real data example is used as an illustration. (English) |
Keyword:
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change point |
Keyword:
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exponential smoothing |
Keyword:
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quantiles |
Keyword:
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robust methods |
Keyword:
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sign test |
MSC:
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62M10 |
MSC:
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62M20 |
MSC:
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62N02 |
idZBL:
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Zbl 06537791 |
idMR:
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MR3453681 |
DOI:
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10.14736/kyb-2015-6-0973 |
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Date available:
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2016-01-21T18:20:33Z |
Last updated:
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2018-01-10 |
Stable URL:
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http://hdl.handle.net/10338.dmlcz/144820 |
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Reference:
|
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Reference:
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Reference:
|
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Reference:
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Reference:
|
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Reference:
|
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Reference:
|
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Reference:
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Reference:
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Reference:
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Reference:
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Reference:
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