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sm (Q24187)

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Smoothing Methods for Nonparametric Regression and Density Estimation
Language Label Description Also known as
English
sm
Smoothing Methods for Nonparametric Regression and Density Estimation

    Statements

    swMATH work ID
    12256
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    instance of
    R package
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    software version identifier
    2.2-5.7.1
    publication date
    4 July 2022
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    1.0-2
    publication date
    8 April 1999
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    1.0-3
    publication date
    16 August 1999
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    2.0-1
    publication date
    13 May 2001
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    2.0-2
    publication date
    13 June 2001
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    2.0-3
    publication date
    9 August 2001
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    2.0-4
    publication date
    10 October 2001
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    2.0-5
    publication date
    28 April 2002
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    2.0-6
    publication date
    3 July 2002
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    2.0-7
    publication date
    19 July 2003
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    2.0-8
    publication date
    12 September 2003
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    2.0-9
    publication date
    18 January 2004
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    2.0-10
    publication date
    1 August 2004
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    2.0-11
    publication date
    4 August 2004
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    2.0-12
    publication date
    10 September 2004
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    2.0-13
    publication date
    14 November 2004
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    2.0-14
    publication date
    7 February 2005
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    2.1-0
    publication date
    4 November 2005
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    2.2-0
    publication date
    12 September 2007
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    2.2-1
    publication date
    23 September 2007
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    2.2-2
    publication date
    9 October 2007
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    2.2-3
    publication date
    28 September 2008
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    2.2-4.1
    publication date
    4 May 2010
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    2.2-4
    publication date
    26 February 2010
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    2.2-5.3
    publication date
    11 May 2013
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    2.2-5.4
    publication date
    16 January 2014
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    2.2-5.5
    publication date
    6 May 2018
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    2.2-5.6
    publication date
    27 September 2018
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    2.2-5.7
    publication date
    13 September 2021
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    2.2-6.0
    publication date
    17 February 2024
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    CRAN project
    sm
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    programmed in
    R
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    last update
    17 February 2024
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    description
    This is software linked to the book 'Applied Smoothing Techniques for Data Analysis - The Kernel Approach with S-Plus Illustrations' Oxford University Press.
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