Nonparametric Inference By Koul, Hira L. Schick, Anton Vellaisamy
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Nonparametric Inference By Koul, Hira L. Schick, Anton Vellaisamy

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493
File size
4.9 MB
Format
Digital PDF
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eBook[PDF]
About this ebook
The textbook for Nonparametric Inference by Hira L. Koul, Anton Schick, and Palaniappan Vellaisamy covers a comprehensive mix of both classical and modern methods in nonparametric statistics. [1, 2]
The core topics and themes outlined in the textbook's curriculum include: [1, 2]
Foundational & Classical Topics
  • Order statistics and ranks
  • Confidence intervals for medians and percentiles
  • Distribution-free tests (such as rank and sign tests)
  • Robust estimators
  • Regression quantiles
  • U-statistics [1, 2]
Advanced & Modern Techniques
  • Nonparametric density and regression estimation
  • Model diagnostics
  • Empirical likelihood approaches
  • Survival analysis, featuring both nonparametric Bayesian and maximum likelihood estimators
  • Bootstrap methods [1, 2]

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Topics

9781003585770 9781032956138 9781040547779 9781040671436 Advanced & Modern Techniques Bootstrap methods Confidence intervals for medians and percentiles Distribution-free tests such as rank and sign tests Empirical likelihood approaches Model diagnostics Nonparametric density and regression estimation Order statistics and ranks Regression quantiles Robust estimators Survival analysis featuring both nonparametric Bayesian and maximum likelihood estimators
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