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Missing and Modified Data in Nonparametric Estimation|Sam Efromovich

Missing and Modified Data in Nonparametric Estimation : With R Examples

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Overview

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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Details

  • ISBN-13: 9780367571986
  • ISBN-10: 0367571986
  • Publisher: CRC Press
  • Publish Date: June 2020
  • Dimensions: 9.9 x 6.9 x 1 inches
  • Shipping Weight: 1.8 pounds
  • Page Count: 464

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