Aurore

Results: 91



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11Nehemiah Bean and the Amoskeag Steam Fire Engine By Aurore Eaton, Executive Director, Manchester Historic Association The Amoskeag Manufacturing Company’s Machine Shop in Manchester, New Hampshire rolled out its first

Nehemiah Bean and the Amoskeag Steam Fire Engine By Aurore Eaton, Executive Director, Manchester Historic Association The Amoskeag Manufacturing Company’s Machine Shop in Manchester, New Hampshire rolled out its first

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Source URL: www.beanfoundation.org

Language: English - Date: 2012-07-13 13:27:49
12Finger Lakes Grape Program August 21, 2013 In the Vineyard Hans Walter-Peterson

Finger Lakes Grape Program August 21, 2013 In the Vineyard Hans Walter-Peterson

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Source URL: nygpadmin.cce.cornell.edu

Language: English - Date: 2015-08-05 10:08:38
13Finger Lakes Grape Program August 28, 2013 In the Vineyard Hans Walter-Peterson

Finger Lakes Grape Program August 28, 2013 In the Vineyard Hans Walter-Peterson

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Source URL: nygpadmin.cce.cornell.edu

Language: English - Date: 2015-08-05 10:08:45
14A Design-Adaptive Local Polynomial Estimator for the Errors-in-Variables Problem ∗ Aurore Delaigle, Jianqing Fan, and Raymond J. Carroll Abstract: Local polynomial estimators are popular techniques for nonparametric re

A Design-Adaptive Local Polynomial Estimator for the Errors-in-Variables Problem ∗ Aurore Delaigle, Jianqing Fan, and Raymond J. Carroll Abstract: Local polynomial estimators are popular techniques for nonparametric re

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Source URL: www.ms.unimelb.edu.au

Language: English - Date: 2008-12-08 03:15:32
    15Submitted to the Annals of Statistics NONPARAMETRIC COVARIATE-ADJUSTED REGRESSION By Aurore Delaigle∗ , Peter Hall∗ and Wen-Xin Zhou∗ University of Melbourne and Princeton University

    Submitted to the Annals of Statistics NONPARAMETRIC COVARIATE-ADJUSTED REGRESSION By Aurore Delaigle∗ , Peter Hall∗ and Wen-Xin Zhou∗ University of Melbourne and Princeton University

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    Source URL: www.ms.unimelb.edu.au

    Language: English - Date: 2016-01-13 22:41:28
      16Submitted to the Annals of Statistics METHODOLOGY AND THEORY FOR PARTIAL LEAST SQUARES APPLIED TO FUNCTIONAL DATA By Aurore Delaigle∗ , and Peter Hall∗ University of Melbourne

      Submitted to the Annals of Statistics METHODOLOGY AND THEORY FOR PARTIAL LEAST SQUARES APPLIED TO FUNCTIONAL DATA By Aurore Delaigle∗ , and Peter Hall∗ University of Melbourne

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      Source URL: www.ms.unimelb.edu.au

      Language: English - Date: 2012-01-20 01:05:41
        17Nonparametric Regression Estimation in the Heteroscedastic Errors-in-Variables Problem Aurore D ELAIGLE and Alexander M EISTER In the classical errors-in-variables problem, the goal is to estimate a regression curve from

        Nonparametric Regression Estimation in the Heteroscedastic Errors-in-Variables Problem Aurore D ELAIGLE and Alexander M EISTER In the classical errors-in-variables problem, the goal is to estimate a regression curve from

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        Source URL: www.ms.unimelb.edu.au

        Language: English - Date: 2008-03-31 09:55:31
          18Deconvolution When Classifying Noisy Data Involving Transformations Raymond Carroll Department of Statistics, Texas A&M University, College Station, Texas, USA Aurore Delaigle

          Deconvolution When Classifying Noisy Data Involving Transformations Raymond Carroll Department of Statistics, Texas A&M University, College Station, Texas, USA Aurore Delaigle

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          Source URL: www.ms.unimelb.edu.au

          Language: English
            19Nonparametric Prediction in Measurement Error Models Raymond J. Carroll Department of Statistics, 3143 TAMU, Texas A&M University, College Station, Texas 77843, USA Aurore Delaigle

            Nonparametric Prediction in Measurement Error Models Raymond J. Carroll Department of Statistics, 3143 TAMU, Texas A&M University, College Station, Texas 77843, USA Aurore Delaigle

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            Source URL: www.ms.unimelb.edu.au

            Language: English - Date: 2008-06-06 13:48:13
              20Nonparametric kernel methods with errors-in-variables: constructing estimators, computing them, and avoiding common mistakes. Aurore Delaigle Department of Mathematics and Statistics, University of Melbourne, Parkville,

              Nonparametric kernel methods with errors-in-variables: constructing estimators, computing them, and avoiding common mistakes. Aurore Delaigle Department of Mathematics and Statistics, University of Melbourne, Parkville,

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              Source URL: www.ms.unimelb.edu.au

              Language: English - Date: 2013-12-04 03:18:32