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There are 18015 results for: content related to: Discussion on “Spatial prediction in the presence of positional error”

  1. Likelihood Ratio Tests for Dependent Data with Applications to Longitudinal and Functional Data Analysis

    Scandinavian Journal of Statistics

    Volume 41, Issue 4, December 2014, Pages: 932–949, Ana-Maria Staicu, Yingxing Li, Ciprian M. Crainiceanu and David Ruppert

    Version of Record online : 18 FEB 2014, DOI: 10.1111/sjos.12075

  2. Shared Uncertainty in Measurement Error Problems, with Application to Nevada Test Site Fallout Data

    Biometrics

    Volume 63, Issue 4, December 2007, Pages: 1226–1236, Yehua Li, Annamaria Guolo, F. Owen Hoffman and Raymond J. Carroll

    Version of Record online : 1 MAY 2007, DOI: 10.1111/j.1541-0420.2007.00810.x

  3. The use of geoadditive models to estimate the spatial distribution of grain weight in an agronomic field: a comparison with kriging with external drift

    Environmetrics

    Volume 22, Issue 6, September 2011, Pages: 769–780, Barbara Cafarelli and Annamaria Castrignanò

    Version of Record online : 4 MAR 2011, DOI: 10.1002/env.1092

  4. Multiple indicators, multiple causes measurement error models

    Statistics in Medicine

    Volume 33, Issue 25, 10 November 2014, Pages: 4469–4481, Carmen D. Tekwe, Randy L. Carter, Harry M. Cullings and Raymond J. Carroll

    Version of Record online : 25 JUN 2014, DOI: 10.1002/sim.6243

  5. Longitudinal penalized functional regression for cognitive outcomes on neuronal tract measurements

    Journal of the Royal Statistical Society: Series C (Applied Statistics)

    Volume 61, Issue 3, May 2012, Pages: 453–469, Jeff Goldsmith, Ciprian M. Crainiceanu, Brian Caffo and Daniel Reich

    Version of Record online : 5 JAN 2012, DOI: 10.1111/j.1467-9876.2011.01031.x

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    Structured functional principal component analysis

    Biometrics

    Volume 71, Issue 1, March 2015, Pages: 247–257, Haochang Shou, Vadim Zipunnikov, Ciprian M. Crainiceanu and Sonja Greven

    Version of Record online : 18 OCT 2014, DOI: 10.1111/biom.12236

  7. Non-parametric regression estimation from data contaminated by a mixture of Berkson and classical errors

    Journal of the Royal Statistical Society: Series B (Statistical Methodology)

    Volume 69, Issue 5, November 2007, Pages: 859–878, Raymond J. Carroll, Aurore Delaigle and Peter Hall

    Version of Record online : 25 OCT 2007, DOI: 10.1111/j.1467-9868.2007.00614.x

  8. Bayesian analysis of measurement error models using integrated nested Laplace approximations

    Journal of the Royal Statistical Society: Series C (Applied Statistics)

    Volume 64, Issue 2, February 2015, Pages: 231–252, Stefanie Muff, Andrea Riebler, Leonhard Held, Håvard Rue and Philippe Saner

    Version of Record online : 4 JUL 2014, DOI: 10.1111/rssc.12069

  9. Uncertainty in spatially predicted covariates: is it ignorable?

    Journal of the Royal Statistical Society: Series C (Applied Statistics)

    Volume 61, Issue 4, August 2012, Pages: 637–652, Scott D. Foster, Hideyasu Shimadzu and Ross Darnell

    Version of Record online : 2 MAR 2012, DOI: 10.1111/j.1467-9876.2011.01030.x

  10. Likelihood ratio tests in linear mixed models with one variance component

    Journal of the Royal Statistical Society: Series B (Statistical Methodology)

    Volume 66, Issue 1, February 2004, Pages: 165–185, Ciprian M. Crainiceanu and David Ruppert

    Version of Record online : 22 DEC 2003, DOI: 10.1111/j.1467-9868.2004.00438.x

  11. Rejoinder: Bayesian Effect Estimation Accounting for Adjustment Uncertainty

    Biometrics

    Volume 68, Issue 3, September 2012, Pages: 680–686, Chi Wang, Giovanni Parmigiani and Francesca Dominici

    Version of Record online : 24 FEB 2012, DOI: 10.1111/j.1541-0420.2011.01735.x

  12. Expected estimating equation using calibration data for generalized linear models with a mixture of Berkson and classical errors in covariates

    Statistics in Medicine

    Volume 33, Issue 4, 20 February 2014, Pages: 675–692, Jean de Dieu Tapsoba, Shen-Ming Lee and Ching-Yun Wang

    Version of Record online : 6 SEP 2013, DOI: 10.1002/sim.5966

  13. Bayesian hierarchical models for food frequency assessment

    Canadian Journal of Statistics

    Volume 38, Issue 3, September 2010, Pages: 506–516, Hae-Ryoung Song, Andrew B. Lawson and Daniela Nitcheva

    Version of Record online : 10 MAR 2010, DOI: 10.1002/cjs.10052

  14. Bayesian Effect Estimation Accounting for Adjustment Uncertainty

    Biometrics

    Volume 68, Issue 3, September 2012, Pages: 661–671, Chi Wang, Giovanni Parmigiani and Francesca Dominici

    Version of Record online : 24 FEB 2012, DOI: 10.1111/j.1541-0420.2011.01731.x

  15. Corrected Confidence Bands for Functional Data Using Principal Components

    Biometrics

    Volume 69, Issue 1, March 2013, Pages: 41–51, J. Goldsmith, S. Greven and C. Crainiceanu

    Version of Record online : 24 SEP 2012, DOI: 10.1111/j.1541-0420.2012.01808.x

  16. Multilevel sparse functional principal component analysis

    Stat

    Volume 3, Issue 1, 2014, Pages: 126–143, Chongzhi Di, Ciprian M. Crainiceanu and Wolfgang S. Jank

    Version of Record online : 24 APR 2014, DOI: 10.1002/sta4.50

  17. Discussions

    Biometrics

    Volume 68, Issue 3, September 2012, Pages: 675–678, Stijn Vansteelandt

    Version of Record online : 20 FEB 2012, DOI: 10.1111/j.1541-0420.2011.01734.x

  18. Binary Regression with Misclassified Response and Covariate Subject to Measurement Error: a Bayesian Approach

    Biometrical Journal

    Volume 50, Issue 1, February 2008, Pages: 123–134, Anna McGlothlin, James D. Stamey and John W. Seaman Jr.

    Version of Record online : 18 FEB 2008, DOI: 10.1002/bimj.200710402

  19. A Note on Permutation Tests for Variance Components in Multilevel Generalized Linear Mixed Models

    Biometrics

    Volume 63, Issue 3, September 2007, Pages: 942–946, Garrett M. Fitzmaurice, Stuart R. Lipsitz and Joseph G. Ibrahim

    Version of Record online : 2 APR 2007, DOI: 10.1111/j.1541-0420.2007.00775.x

  20. Discussion of Adjustment Uncertainty and Propensity Scores

    Biometrics

    Volume 68, Issue 3, September 2012, Pages: 678–680, Lawrence C. McCandless

    Version of Record online : 20 FEB 2012, DOI: 10.1111/j.1541-0420.2011.01733.x