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      Model fitting in the presence of nuisance parameters

      proceedings-article
      ADA-III - Astronomical Data Analysis III Conference (ADA)
      Astronomical Data Analysis
      29 April - 1 May 2004
      Bootstrap, computationally intensive resampling, Kolmogorov-Smirnov statistic, Gaussian process, Empirical process
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            Abstract

            A basic problem in any statistical modeling of a scientific dataset is to provide the ‘best’ fit. Such inference is generally based on the empirical distribution function when the underlying process generating the data is not reasonably known. A computationally intensive resampling method called the bootstrap method are presented, to estimate the null distributions of various goodness of fit test statistics, when the underlying process is partially known. These results hold not only in the univariate case but also in the multivariate setting.

            Content

            Author and article information

            Contributors
            Conference
            April 2004
            April 2004
            : 1-6
            Affiliations
            [0001]Center for Astrostatistics

            Department of Statistics, 319 Thomas Building

            The Pennsylvania State University

            University Park, PA 16802, USA

            http://astrostatistics.psu.edu
            Article
            10.14236/ewic/ADA-III2004.16
            f85ac947-1f36-4a33-94a2-840f6ccbca76
            © G. Jogesh Babu et al. Published by BCS Learning and Development Ltd. ADA-III - Astronomical Data Analysis III Conference, Sant' Agata sui due Golfi, Italy

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            ADA-III - Astronomical Data Analysis III Conference
            ADA
            3
            Sant' Agata sui due Golfi, Italy
            29 April - 1 May 2004
            Electronic Workshops in Computing (eWiC)
            Astronomical Data Analysis
            Product
            Product Information: 1477-9358BCS Learning & Development
            Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/ADA-III2004.16
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

            Applied computer science,Computer science,Security & Cryptology,Graphics & Multimedia design,General computer science,Human-computer-interaction
            computationally intensive resampling,Gaussian process,Bootstrap,Kolmogorov-Smirnov statistic,Empirical process

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