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Missing and Modified Data in Nonparametric Estimation

- With R Examples

About Missing and Modified Data in Nonparametric Estimation

The book gives a unified approach to nonparametric curve estimation based on missing and modified data. Missing data includes cases of missing at random and missing not at random, while data modification includes truncation and censoring, typical in survival analysis, as well as measurement errors and amplitude modulation. A universal nonparamet

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  • Language:
  • English
  • ISBN:
  • 9780367571986
  • Binding:
  • Paperback
  • Pages:
  • 464
  • Published:
  • June 29, 2020
  • Dimensions:
  • 178x254x0 mm.
  • Weight:
  • 453 g.
Delivery: 1-2 weeks
Expected delivery: December 8, 2024

Description of Missing and Modified Data in Nonparametric Estimation

The book gives a unified approach to nonparametric curve estimation based on missing and modified data. Missing data includes cases of missing at random and missing not at random, while data modification includes truncation and censoring, typical in survival analysis, as well as measurement errors and amplitude modulation. A universal nonparamet

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