All of Nonparametric Statistics

Wasserman, L. H. (2006). All of Nonparametric Statistics. Springer.

Type

Book

Intellectual base

Review or monograph

Year

2006

DOI

10.1007/0-387-30623-4

ISBN

9780387251455

Link

https://doi.org/10.1007/0-387-30623-4

Cited from

statistics_experimental_design

Cited by

2 citations across 2 artifacts.

Primes

• Distributional Assumption
  • Nonparametric inference methods (e.g., permutation tests, bootstrap, kernel methods) perform inference with minimal or no explicit distributional assumption, though they make other structural assumptions (e.g., exchangeability, smoothness), as Wasserman (2006) catalogs in his treatment of nonparametric statistics.
• Nonparametric Methods
  • The assumption-relaxation in inferential validity

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