The Perversity of Missing Points in the 2(4) Design,

Abstract

The author would like better to understand the impact of missing data on estimability (and variance) in 2 to the n power factorials and 2 to the n-k power fractional factorials. Hoping to find generalizable results, the author examined the 2 to the 4th power design to determine what points could be deleted without losing estimability of main effects and 2-factor interactions (resolution V property). He was guided by a result of P. W. M. John which shows that if a fraction is missing from a 2 to the n power design, then estimable effects are those estimable from half replicates, and the least squares estimates are obtained by averaging the estimates from half replicates.

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1983
Accession Number
ADP001588

Entities

People

  • Carl T. Russell

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • California
  • Data Science
  • Experimental Design
  • Information Science
  • Military Research

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.