A seven point smoothing program for NUWES data
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Authors
Tysver, Joseph Bryce
Subjects
Least Squares
Regression
Data Smoothing, Polynomials
Regression
Data Smoothing, Polynomials
Advisors
Date of Issue
1986-01
Date
1986-01
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
The proposed BASIC program for smoothing NUWES data uses the Least- Squares Method to fit a polynomial to a 7-point data segment. It determines the best fitting polynomial of order 1, 2, or 3 and establishes an estimate for the coordinate at the time in the center of the data segment. It also establishes a Figure-of-Merit (FM) for that estimate. This program is designed specifically for treatment of outliers and missing points but it can also be used for smoothing of other observations. It is intended to be used as the basic smoothing program for NUWES data and to provide a value of FM for each observation time for feedback to the Instrumentation Department. Values of the FM's also provide information for other users of the smoothed data on it's quality (i.e., how well the smoothed values can be expected to represent the actual path of a vehicle)
Type
Technical Report
Description
Series/Report No
Department
Identifiers
NPS Report Number
NPS55-86-003PR
Sponsors
prepared for Naval Undersea Warfare Engineering
Station
Funder
Format
Citation
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.