The Best of Both Worlds: Integrating Statistical and Deterministic Approaches to Area Remediation

See related content

by H. T. David, Iowa State Univ, Ames, United States,
Seongmo Yoo, Iowa State Univ, Ames, United States,

Document Type: Proceeding Paper

Part of: High Level Radioactive Waste Management 1993

Abstract: We seek a complete framework for adaptive area characterization for purposes of remediation, incorporating both statistical and deterministic features. This hybrid methodology involves deterministic spatial interpolation and adaptive measurement site selection, and statistical uncertainty assessment. Two stop-decision criteria also are proposed, one statistical the other deterministic. The paper contains applications of our methodology to both real and synthetic data sets.

Subject Headings: Statistics | Remediation | Soil pollution | Adaptive systems | Hybrid methods | Radioactive wastes | Frames | Spatial analysis |

Services: Buy this book/Buy this article


Return to search