Enhanced Randomness Assessment Method for Three-Dimensions
Abstract
This patent application discloses a multi-stage method for automatically characterizing data sets containing data points that are each defined by measurements of three variables as either random or non-random. A three-dimensional Cartesian volume which is sized to contain all of a total number N of data points in the data set which is to be characterized. The Cartesian volume is partitioned into equal-sized cubes, wherein each cube may or may not contain a data point. A predetermined route is defined that goes through every cube one time and scores each cube as a one or a zero, thereby producing a stream of ones and zeros. The number of runs is counted and utilized to provide a Runs Test that predicts if the N data points in any data set are random or nonrandom. Additional tests are used in conjunction with the Runs Test to increase the accuracy of characterization of each data set as random or nonrandom. (3 figures)
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 30, 2004
- Accession Number
- ADD020168
Entities
People
- Francis J. O'brien
Organizations
- United States Department of the Navy