Analysis of Randomly Incomplete Data Without Imputation (SpringerBriefs in Statistics)

by Tejas Desai

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In this work, the theoretical results of Desai and Sen (2006, 2008) are used to describe several types of analyses of randomly incomplete data without imputation of any sort.
  • ISBN10 3642235042
  • ISBN13 9783642235047
  • Publish Date 30 September 2011
  • Publish Status Active
  • Publish Country DE
  • Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
  • Imprint Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Edition 2012
  • Format Paperback
  • Pages 95
  • Language English