A comparison of errors in variables methods for use in regression models with spatially misaligned data.
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A pseudo-penalized quasi-likelihood approach to the spatial misalignment problem with non-normal data.Consequences of kriging and land use regression for PM2.5 predictions in epidemiologic analyses: insights into spatial variability using high-resolution satellite data.Measurement error in two-stage analyses, with application to air pollution epidemiology.Uncertainty in spatially predicted covariates: is it ignorable?Can Small-Scale Agricultural Production Improve Children's Health? Examining Stunting Vulnerability among Very Young Children in Mali, West Africa
P2860
A comparison of errors in variables methods for use in regression models with spatially misaligned data.
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2010 nî lūn-bûn
@nan
2010 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
A comparison of errors in vari ...... ith spatially misaligned data.
@ast
A comparison of errors in vari ...... ith spatially misaligned data.
@en
type
label
A comparison of errors in vari ...... ith spatially misaligned data.
@ast
A comparison of errors in vari ...... ith spatially misaligned data.
@en
prefLabel
A comparison of errors in vari ...... ith spatially misaligned data.
@ast
A comparison of errors in vari ...... ith spatially misaligned data.
@en
P2093
P2860
P356
P1476
A comparison of errors in vari ...... ith spatially misaligned data.
@en
P2093
Carol A Gotway
Kenneth K Lopiano
Linda J Young
P2860
P356
10.1177/0962280210370266
P577
2010-06-02T00:00:00Z