Complete convergence for weighted sums of i.i.d. random variables with applications in regression estimation and EV model
In this paper, we obtain complete convergence results for Stout type weighted sums of i.i.d. random variables. A strong law for weighted sums of i.i.d. random variables is also obtained. As the applications of the strong law, the strong consistency and rate of the nonparametric regression estimation...
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| Autor*in: |
Chen, Pingyan [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Rechteinformationen: |
Nutzungsrecht: © 2017 Taylor & Francis Group, LLC 2017 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Communications in statistics / Theory and methods - London : Taylor and Francis, 1982, 46(2017), 7, Seite 3599-3613 |
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| Übergeordnetes Werk: |
volume:46 ; year:2017 ; number:7 ; pages:3599-3613 |
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| DOI / URN: |
10.1080/03610926.2015.1066817 |
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Complete convergence for weighted sums of i.i.d. random variables with applications in regression estimation and EV model |
| abstract |
In this paper, we obtain complete convergence results for Stout type weighted sums of i.i.d. random variables. A strong law for weighted sums of i.i.d. random variables is also obtained. As the applications of the strong law, the strong consistency and rate of the nonparametric regression estimations and the rates of the strong consistency of LS estimators for the unknown parameters of the simple linear errors in variables (EV) model are given. |
| abstractGer |
In this paper, we obtain complete convergence results for Stout type weighted sums of i.i.d. random variables. A strong law for weighted sums of i.i.d. random variables is also obtained. As the applications of the strong law, the strong consistency and rate of the nonparametric regression estimations and the rates of the strong consistency of LS estimators for the unknown parameters of the simple linear errors in variables (EV) model are given. |
| abstract_unstemmed |
In this paper, we obtain complete convergence results for Stout type weighted sums of i.i.d. random variables. A strong law for weighted sums of i.i.d. random variables is also obtained. As the applications of the strong law, the strong consistency and rate of the nonparametric regression estimations and the rates of the strong consistency of LS estimators for the unknown parameters of the simple linear errors in variables (EV) model are given. |
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| title_short |
Complete convergence for weighted sums of i.i.d. random variables with applications in regression estimation and EV model |
| url |
http://dx.doi.org/10.1080/03610926.2015.1066817 http://www.tandfonline.com/doi/abs/10.1080/03610926.2015.1066817 http://search.proquest.com/docview/1851125521 |
| remote_bool |
false |
| author2 |
Kong, Ningning Sung, Soo Hak |
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Kong, Ningning Sung, Soo Hak |
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| doi_str |
10.1080/03610926.2015.1066817 |
| up_date |
2024-07-04T05:39:11.364Z |
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