  <record>
    <language>eng</language>
    <publisher>TQMP</publisher>
    <journalTitle>Tutorials in Quantitative Methods for Psychology</journalTitle>
    <issn>1913-4126</issn>
    <publicationDate>2011-06-08</publicationDate>
    <volume>7</volume>
    <issue>2</issue>
    <startPage>21</startPage>
    <endPage>31</endPage>
    <documentType>article</documentType>
    <title language="eng">Automatic Maxima Detection: A Graphical User Interface and a Tutorial</title>

    <authors>
      <author>
        <name>Frédéric Dandurand</name>
        <email>frederic.dandurand@umontreal.ca</email>
        <affiliationId>1</affiliationId>
      </author>

      <author>
        <name>Thomas R. Shultz</name>
        <email>thomas.shultz@mcgill.ca</email>
        <affiliationId>2</affiliationId>
      </author>




    </authors>

    <affiliationsList>
      <affiliationName affiliationId="1">Université de Montréal</affiliationName>

      <affiliationName affiliationId="2">McGill University</affiliationName>




    </affiliationsList>

    <abstract language="eng">
       Automatic Maxima Detection is a statistical tool to detect and measure local maxima in functional data (Dandurand and Shultz, 2010). A typical use of AMD is the identification of growth spurts in time-varying data. The current paper provides a complete hands-on tutorial for how to use AMD, a new graphical user interface (GUI) and advanced scripts.  
    </abstract>

    <fullTextUrl format="pdf">http://www.tqmp.org/Content/vol07-2/p021/p021.pdf</fullTextUrl>

    <keywords language="eng">    
      <keyword>maxima detection</keyword>

      <keyword>graphical interface</keyword>




    </keywords>
  </record>


