Design and Analysis of Experiments and More Realistic Techniques for Data Analysis.

Abstract

The research involved has been mainly focused on procedures -- on things to do with date -- on data analysis techniques. Some of the more innovative contributions include: graphical analysis of variance, configural polysampling, so far the only direct approach to robustness in actual finite-sized samples, compromise MLEs as a more flexible, often closely approximately, approach to robustness, calculations for many explicit randomizations as the trustworthy and stringent analysis for randomized experiment, simple devices for presenting motion using an overhead projector, work on pushback techniques and related ideas, effective confidence intervals based on only 2 of the observed values in a sample, new insight into multiple comparisons, fits with many exact-zero residuals sharing other good properties, deeper insight into, and robust procedures for, analysis of variance.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1986
Accession Number
ADA168921

Entities

People

  • John W. Tukey

Organizations

  • Princeton University

Tags

Communities of Interest

  • Air Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Analysis Of Variance
  • Data Analysis
  • Data Mining
  • Data Science
  • Experimental Design
  • Information Science
  • Knowledge Management
  • Network Science
  • Numerical Integration
  • Order Statistics
  • Simulations
  • Spectrum Analysis
  • Statistical Algorithms
  • Statistical Analysis
  • Statistics
  • Surveys
  • Two Dimensional

Readers

  • Distributed Systems and Data Platform Development
  • Regression Analysis.