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Statistical Methods for Handling Incomplete Data
Engelsk Paperback
Statistical Methods for Handling Incomplete Data
Engelsk Paperback

480 kr
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Om denne bog

Due to recent theoretical findings and advances in statistical computing, there has been a rapid development of techniques and applications in the area of missing data analysis. Statistical Methods for Handling Incomplete Data covers the most up-to-date statistical theories and computational methods for analyzing incomplete data.

Features

  • Uses the mean score equation as a building block for developing the theory for missing data analysis
  • Provides comprehensive coverage of computational techniques for missing data analysis
  • Presents a rigorous treatment of imputation techniques, including multiple imputation fractional imputation
  • Explores the most recent advances of the propensity score method and estimation techniques for nonignorable missing data
  • Describes a survey sampling application
  • Updated with a new chapter on Data Integration
    • Now includes a chapter on Advanced Topics, including kernel ridge regression imputation and neural network model imputation
  • The book is primarily aimed at researchers and graduate students from statistics, and could be used as a reference by applied researchers with a good quantitative background. It includes many real data examples and simulated examples to help readers understand the methodologies.

    Product detaljer
    Sprog:
    Engelsk
    Sider:
    380
    ISBN-13:
    9781032118130
    Indbinding:
    Paperback
    Udgave:
    2
    ISBN-10:
    103211813X
    Udg. Dato:
    29 jan 2024
    Længde:
    29mm
    Bredde:
    234mm
    Højde:
    156mm
    Forlag:
    Taylor & Francis Ltd
    Oplagsdato:
    29 jan 2024
    Forfatter(e):
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