Kinds of Bootstraps and Kinds of Jackknives, Discussed in Terms of a Year of Weather-Related Data.

Abstract

Resampling methods - - are in the process of becoming popular ways of assessing the standard error appropriate to some number chosen to distill, perhaps in a rather complex way, from data. An ever-present danger is that resampling will come to be thought of as a cure-all. The most that can reasonably be hoped for is that questions that do not arise in connection with the simplest distillates - - arithmetic means of samples - - need not be considered in connection with resampling applied to the results of more complicated calculations. This means that, in particular, (a) needs for the use of robust/resistant techniques in the distillation process, and (b) needs to consider the question of the proper error term are in no way automatically addressed by the use of jackknife or bootstrap. Robust/resistant techniques, if required, must be built into calculation of the final distillate from the observations, before that distillate is jackknifed or bootstrapped. A year of weather-related data offers a good platform for careful discussion.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1987
Accession Number
ADA184495

Entities

People

  • John W. Tukey

Organizations

  • Princeton University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Bias
  • Classification
  • Confidence Limits
  • Data Analysis
  • Data Science
  • Distillation
  • Information Science
  • Intervals
  • Linearity
  • Military Research
  • Order Statistics
  • Probability
  • Sampling
  • Security
  • Shape
  • Standards
  • Statistics

Fields of Study

  • Environmental science

Readers

  • Regression Analysis.
  • Statistical inference.
  • Systems Analysis and Design