Accession Number:

ADA416814

Title:

Theory and Construction Methods for Large Regular Resolution IV Designs

Descriptive Note:

Doctoral thesis

Corporate Author:

TENNESSEE UNIV KNOXVILLE GRADUATE SCHOOL

Personal Author(s):

Report Date:

2003-08-01

Pagination or Media Count:

200.0

Abstract:

The author defines 2 super k-p fractional factorial designs that use all of their degrees of freedom to estimate main effects and two-factor interactions as second order saturated SOS designs. He proves that resolution IV SOS designs project to every other resolution IV design, and shows the details of these projections for every n 32 and n 64 run fraction. For k greater than 5l6n, all resolution IV designs are a projection from the even SOS design at k n2. For k less than or equal to 5l6n the minimum aberration design resolution IV designs are projections of SOS designs with both even and odd words in the defining relation. While even resolution IV designs are limited to estimating fewer than n2 two-factor interactions in addition to the k main effects, resolution IV designs with odd-length words in the defining relation may devote more than half of their degrees of freedom to two-factor interactions. The author proposes a method to search for good resolution IV designs using naive projections from evenodd SOS designs. He introduces the alias length pattern as a tool to help characterize designs, and he describes how the matrix T DD for a design D is useful in searching for designs. He lists the resolution IV evenodd minimum aberration designs for n 128 and provides a catalog of the best resolution IV evenodd designs for n 128. These results are based on an isomorphic check using a convenient function of T, as well as the set of projections of a design. Finally, the author suggests a new method for finding good regular resolution IV designs for large n greater than 128 and provides a preliminary table of good resolution IV evenodd designs for n 256. 19 tables, 7 figures, 26 refs.

Subject Categories:

  • Statistics and Probability
  • Operations Research

Distribution Statement:

APPROVED FOR PUBLIC RELEASE