Analysis of Randomly Incomplete Data Without Imputation (SpringerBriefs in Statistics 2012)

Analysis of Randomly Incomplete Data Without Imputation (SpringerBriefs in Statistics 2012)

By: Tejas Desai (author)Paperback

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Description

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.

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Contents

Introduction.- Fisher Information in Randomly-Incomplete-Data Likelihoods.- Methods for Normal Data.- Methods for Categorical Data.- The General Linear Model.- Logistic Regression.- References.- Index.

Product Details

  • publication date: 30/09/2011
  • ISBN13: 9783642235047
  • Format: Paperback
  • Number Of Pages: 95
  • ID: 9783642235047
  • ISBN10: 3642235042
  • edition: 2012

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