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Communications in Statistics - Theory and Methods Volume 38, 2009 - Issue 16-17: Recent Advances in Theory and Applications of Statistics
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Original Articles

Assessing Uncertainty in Support-Adjusted Spatial Misalignment Problems

Linda J. Younga Department of Statistics, University of Florida , Gainesville, Florida, USA
,
Carol A. Gotwayb Office of Workforce and Career Development, Centers for Disease Control and Prevention , Atlanta, Georgia, USA
,
Greg Kearneyc Department of Health, Division of Environmental Health , Tallahassee, Florida, USA
&
Chris DuClosc Department of Health, Division of Environmental Health , Tallahassee, Florida, USA
Pages 3249-3264 | Received 27 Dec 2008, Accepted 12 Feb 2009, Published online: 20 Aug 2009

Citations (5)

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Read on this site (1)

LindaJ. Young, CarolA. Gotway & KennethK. Lopiano. (2012) A Closer Look at Errors in Variables Methods for Use in Regression Models with Spatially Misaligned Data. Communications in Statistics - Simulation and Computation 41:7, pages 1250-1269.
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Articles from other publishers (4)

Emily Leary, Linda J. Young, Melissa M. Jordan & Chris DuClos. (2017) Effect of Missing Data on Estimation of the Impact of Heat Waves: Methodological Concerns for Public Health Practice. Atmosphere 8:4, pages 70.
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Daisuke Murakami & Morito Tsutsumi. (2015) Area-to-point parameter estimation with geographically weighted regression. Journal of Geographical Systems 17:3, pages 207-225.
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Kenneth K LopianoLinda J Young & Carol A Gotway. (2010) A comparison of errors in variables methods for use in regression models with spatially misaligned data. Statistical Methods in Medical Research 20:1, pages 29-47.
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Linda J. Young, Carol A. Gotway, Kenneth K. Lopiano, Greg Kearney & Chris DuClos. 2010. Proceedings of COMPSTAT'2010. Proceedings of COMPSTAT'2010 285 294 .

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