Use of Spline Functions in Analyzing Submarine Exercise Data.
Abstract
This report presents nonlinear techniques for obtaining least squares fits to ASW exercise data and for computing confidence intervals around several of the resultant functions and their parameters. These techniques use spline regression analysis, where a spline is a function that has been spliced or segmented in the independent variable(s). Specifically, this paper considers spline functions that are composed of: (1) two or more polynomials; (2) general non-segmented and nonlinear functions; (3) segmented exponentials. These techniques are illustrated with examples applicable to ASW exercise analysis.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 31, 1973
- Accession Number
- AD0912024
Entities
People
- Barbara W. Perneski
- George A. Milliken
- Lyman L. Mcdonald