Improved prediction intervals in heteroscedastic mixed-effects models
Thomas Mathew,
Sandeep Menon,
Inna Perevozskaya and
Samaradasa Weerahandi
Statistics & Probability Letters, 2016, vol. 114, issue C, 48-53
Abstract:
Prediction intervals are developed for the best linear unbiased predictor under heteroscedastic mixed models using the generalized pivotal quantity approach. The superiority of the proposed intervals, over widely used REML based intervals, is established via a simulation study.
Keywords: Variance components; Best linear unbiased predictor (BLUP); Generalized inference; REML (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167715216000560
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:114:y:2016:i:c:p:48-53
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
DOI: 10.1016/j.spl.2016.03.004
Access Statistics for this article
Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul
More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().