Empirical Signal-to-Noise Ratios from Operational Test Data

Abstract

Statistical power is a common metric for assessing experimental designs. While this metric depends on many factors, one of the most critical is the expected effect size of relevant factors and the relative noise expected in the data. Together, these values are summarized as the signal-to-noise ratio (SNR). Software packages like JMP 10 and Design Expert use SNR as a critical component in power calculations, and by general rule of thumb, values such as 0.5, 1, and 2 are used. However, it is not clear that these values represent the true spectrum of likely outcomesfrom operational test data.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2014
Accession Number
AD1123717

Entities

People

  • Matt R. Avery

Organizations

  • Institute for Defense Analyses

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Computing-Related Activities
  • Continents
  • Copyrights
  • Corporations
  • Data Science
  • Experimental Design
  • Government Procurement
  • Governments
  • Information Science
  • Intellectual Property
  • Law
  • Materials
  • National Security
  • Patents
  • Procurement
  • Security
  • Spectra
  • Test And Evaluation
  • Virginia

Readers

  • Computational Modeling and Simulation
  • Radar Systems Engineering.
  • Regression Analysis.