Title	New Measurement Error Data Structures
Creator	Carroll, Raymond
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2016-08-15T09:30
Description	This is a survey overview on some relatively recent measurement error data structures, and brief discussions of how might one analyze them. Problems include (a) mixtures of continuous and discrete variables both subject to error; (b) problems in which the target covariate varies over time and is measured with error; (c) classical additive and Berkson multiplicative errors in radiation exposure doses; (d) Calibration and seasonal adjustment for matched case-control studies; (e) Spatial regression with covariate measurement error; (f) using functional data analysis to assess measurement error in energy intake; (g) deconvolution with heteroscedastic measurement error.
Extent	49 minutes
Subject	Mathematics; Statistics; Probability theory and stochastic processes
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: Texas A&M University
Series	BIRS Workshop Lecture Videos (Banff, Alta)
Date Available	2017-02-13
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0342735
URI	http://hdl.handle.net/2429/60574
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Faculty
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

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