Accession Number : AD0912024
Title : Use of Spline Functions in Analyzing Submarine Exercise Data.
Descriptive Note : Technical rept.,
Corporate Author : ANALYSIS AND TECHNOLOGY INC NORTH STONINGTON CT
Personal Author(s) : Perneski, Barbara W. ; McDonald, Lyman L. ; Milliken, George A.
Report Date : 31 JUL 1973
Pagination or Media Count : 124
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.
Descriptors : (*ANTISUBMARINE WARFARE, NAVAL OPERATIONS), (*COMPUTER PROGRAMS, NONLINEAR PROGRAMMING), FUNCTIONS(MATHEMATICS), LEAST SQUARES METHOD, REGRESSION ANALYSIS, SONAR SIGNALS, DIRECTION FINDING, NOISE, BACKGROUND, MATRICES(MATHEMATICS), CONFIDENCE LIMITS, MULTIVARIATE ANALYSIS, POLYNOMIALS, EXPONENTIAL FUNCTIONS, TIME SHARING, SUBROUTINES.
Subject Categories : Statistics and Probability
Computer Programming and Software
Undersea and Antisubmarine Warfare
Distribution Statement : APPROVED FOR PUBLIC RELEASE