Skip navigation
Skip navigation
A change is coming. Click to see a sneak peek of the new Open Research Repository.

Semiparametric Approach for Non-Monotone Missing Covariates in a Parametric Regression Model

link to publisher version

  • Altmetric Citations

Sinha, Samiran; Saha, Krishna; Wang, Suojin

dc.contributor.authorSinha, Samiran
dc.contributor.authorSaha, Krishna
dc.contributor.authorWang, Suojin
dc.date.accessioned2015-12-08T22:17:49Z
dc.date.available2015-12-08T22:17:49Z
dc.identifier.issn0006-341X
dc.identifier.urihttp://hdl.handle.net/1885/31064
dc.publisherInternational Biometrics Society
dc.sourceBiometrics
dc.titleSemiparametric Approach for Non-Monotone Missing Covariates in a Parametric Regression Model
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume70
dc.date.issued2014
local.identifier.absfor010406 - Stochastic Analysis and Modelling
local.identifier.ariespublicationu5328909xPUB79
local.type.statusPublished Version
local.contributor.affiliationSinha, Samiran, Department of Statistics, Texas A&M University, College Station, Texas 77843, U.S.A.
local.contributor.affiliationSaha, Krishna, Department of Mathematical Sciences, Central Connecticut State University, New Britain, Connecticut 06050, U.S.A.
local.contributor.affiliationWang, Suojin, College of Physical and Mathematical Sciences, ANU
local.bibliographicCitation.startpage299
local.bibliographicCitation.lastpage311
local.identifier.doi10.1111/biom.12159
local.identifier.absseo970101 - Expanding Knowledge in the Mathematical Sciences
dc.date.updated2016-06-14T09:13:26Z
local.identifier.scopusID2-s2.0-84902344505
CollectionsANU Research Publications

Download

There are no files associated with this item.
Show simple item record


Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  17 November 2022/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator