Publication: A new difference-based weighted mixed Liu estimator in partially linear models
dc.contributor.author | AKDENİZ, ESRA | |
dc.contributor.authors | Akdeniz, Esra; Akdeniz, Fikri; Roozbeh, Mahdi | |
dc.date.accessioned | 2022-03-12T22:26:30Z | |
dc.date.available | 2022-03-12T22:26:30Z | |
dc.date.issued | 2018 | |
dc.description.abstract | In this paper, a generalized difference-based estimator is introduced for the vector parameter beta in the partially linear model when the errors are correlated. A generalized difference-based Liu estimator is defined for the vector parameter beta. Under the linear stochastic constraint r = R beta + e, a new generalized difference-based weighted mixed Liu estimator is introduced. The performance of this estimator over the generalized difference-based weighted mixed estimator and the generalized difference-based Liu estimator in terms of the mean squared error matrix criterion is investigated. Then, a method to select the biasing parameter d and non-stochastic weight. is considered. The efficiency properties of the newestimator are illustrated by a simulation study. Finally, the performance of the new estimator is evaluated for a real data set. | |
dc.identifier.doi | 10.1080/02331888.2018.1511715 | |
dc.identifier.eissn | 1029-4910 | |
dc.identifier.issn | 0233-1888 | |
dc.identifier.uri | https://hdl.handle.net/11424/235076 | |
dc.identifier.wos | WOS:000456971300005 | |
dc.language.iso | eng | |
dc.publisher | TAYLOR & FRANCIS LTD | |
dc.relation.ispartof | STATISTICS | |
dc.rights | info:eu-repo/semantics/closedAccess | |
dc.subject | Difference-based estimator | |
dc.subject | generalized Liu estimator | |
dc.subject | generalized difference-based weighted mixed Liu estimator | |
dc.subject | partially linear model | |
dc.subject | weighted mixed estimator | |
dc.subject | RIDGE ESTIMATORS | |
dc.subject | REGRESSION | |
dc.subject | IMPROVEMENT | |
dc.subject | PARAMETERS | |
dc.subject | VARIANCE | |
dc.title | A new difference-based weighted mixed Liu estimator in partially linear models | |
dc.type | article | |
dspace.entity.type | Publication | |
local.avesis.id | aaecba10-3886-4e5a-9d9e-56c6f84e59cb | |
local.import.package | SS17 | |
local.indexed.at | WOS | |
local.indexed.at | SCOPUS | |
local.journal.numberofpages | 19 | |
local.journal.quartile | Q4 | |
oaire.citation.endPage | 1327 | |
oaire.citation.issue | 6 | |
oaire.citation.startPage | 1309 | |
oaire.citation.title | STATISTICS | |
oaire.citation.volume | 52 | |
relation.isAuthorOfPublication | 247544af-fbb8-4147-a94d-b693a76513de | |
relation.isAuthorOfPublication.latestForDiscovery | 247544af-fbb8-4147-a94d-b693a76513de |