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  <identifier identifierType="DOI">10.18453/rosdok_id00004911</identifier>
  <creators>
    <creator>
      <creatorName nameType="Personal">Denecke, Esther Dorothea</creatorName>
      <givenName>Esther Dorothea</givenName>
      <familyName>Denecke</familyName>
      <nameIdentifier nameIdentifierScheme="GND" schemeURI="http://d-nb.info/gnd/">http://d-nb.info/gnd/1376283352</nameIdentifier>
    </creator>
  </creators>
  <titles>
    <title>Methods to estimate mortality in small populations</title>
  </titles>
  <publisher>Universität Rostock</publisher>
  <publicationYear>2025</publicationYear>
  <resourceType resourceTypeGeneral="Text" />
  <subjects>
    <subject xml:lang="en" schemeURI="http://dewey.info/" subjectScheme="dewey">300 Social sciences</subject>
    <subject xml:lang="en" schemeURI="http://dewey.info/" subjectScheme="dewey">310 General statistics</subject>
  </subjects>
  <dates>
    <date dateType="Created">2025</date>
  </dates>
  <language>en</language>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="PURL">https://purl.uni-rostock.de/rosdok/id00004911</alternateIdentifier>
    <alternateIdentifier alternateIdentifierType="URN">urn:nbn:de:gbv:28-rosdok_id00004911-5</alternateIdentifier>
  </alternateIdentifiers>
  <descriptions>
    <description descriptionType="Abstract">Different approaches to estimate mortality in small populations are present in the literature and choosing among them for practical applications is not a trivial task. This thesis reviews, evaluates, and applies promising demographic methods to estimate full mortality schedules in small populations. It specifically focuses on the identification of gaps in the methodological literature, the evaluation of methods by means of a simulation study, and the practical application to real world data.</description>
  </descriptions>
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