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Article: Asymptotically efficient estimation based on wavelet of expectation value in a partial linear model
| Title | Asymptotically efficient estimation based on wavelet of expectation value in a partial linear model |
|---|---|
| Authors | |
| Keywords | Wavelet estimate Asymptotic efficiency Partly linear model |
| Issue Date | 1999 |
| Publisher | Taylor & Francis Inc. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/03610926.asp |
| Citation | Communications in Statistics: Theory and Methods, 1999, v. 28 n. 9, p. 2045-2055 How to Cite? |
| Abstract | This paper is concerned with a semiparametric regression model Yi=θ1+2(Ti)+εi, i=1,…n where the error εi is independent of Ti for each i, θ1 is an unknown constant of interest, and θ22 is an unknown function on [0,1]. In order to obtain an asymptotically efficient estimate θ1, θ2(t) is generally in the literature assumed to be a continuously differentiable function on [0,1]. In this paper, it is constructed assuming only that θ2 is an unknown piece-wise differentiablc function on [0, 1). In the process of construction, wavelet expansion is employed. |
| Persistent Identifier | http://hdl.handle.net/10722/222909 |
| ISSN | 2021 Impact Factor: 0.863 2020 SCImago Journal Rankings: 0.470 |
| ISI Accession Number ID |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Liang, H | - |
| dc.contributor.author | Zhu, L | - |
| dc.contributor.author | Zhou, Y | - |
| dc.date.accessioned | 2016-02-12T07:18:29Z | - |
| dc.date.available | 2016-02-12T07:18:29Z | - |
| dc.date.issued | 1999 | - |
| dc.identifier.citation | Communications in Statistics: Theory and Methods, 1999, v. 28 n. 9, p. 2045-2055 | - |
| dc.identifier.issn | 0361-0926 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/222909 | - |
| dc.description.abstract | This paper is concerned with a semiparametric regression model Yi=θ1+2(Ti)+εi, i=1,…n where the error εi is independent of Ti for each i, θ1 is an unknown constant of interest, and θ22 is an unknown function on [0,1]. In order to obtain an asymptotically efficient estimate θ1, θ2(t) is generally in the literature assumed to be a continuously differentiable function on [0,1]. In this paper, it is constructed assuming only that θ2 is an unknown piece-wise differentiablc function on [0, 1). In the process of construction, wavelet expansion is employed. | - |
| dc.language | eng | - |
| dc.publisher | Taylor & Francis Inc. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/03610926.asp | - |
| dc.relation.ispartof | Communications in Statistics: Theory and Methods | - |
| dc.rights | This is an electronic version of an article published in [include the complete citation information for the final version of the article as published in the print edition of the journal]. [JOURNAL TITLE] is available online at: http://www.informaworld.com/smpp/ with the open URL of your article. | - |
| dc.subject | Wavelet estimate | - |
| dc.subject | Asymptotic efficiency | - |
| dc.subject | Partly linear model | - |
| dc.title | Asymptotically efficient estimation based on wavelet of expectation value in a partial linear model | - |
| dc.type | Article | - |
| dc.identifier.doi | 10.1080/03610929908832405 | - |
| dc.identifier.scopus | eid_2-s2.0-2342590346 | - |
| dc.identifier.hkuros | 48122 | - |
| dc.identifier.volume | 28 | - |
| dc.identifier.issue | 9 | - |
| dc.identifier.spage | 2045 | - |
| dc.identifier.epage | 2055 | - |
| dc.identifier.isi | WOS:000082128200003 | - |
| dc.publisher.place | United States | - |
| dc.identifier.issnl | 0361-0926 | - |