Preliminary Reference Manual for Program STAMP (STatistics of Acoustic Measurements and Predictions).

Abstract

STAMP (STatistics of Acoustic Measurements and Predictions) is a UNIVAC 1108 program which performs statistical analysis of series data for sonar and communications systems applications. The statistical tests are especially chosen and tailored for requirements of acoustic data analysis. Data such as propagation loss at equal or unequal intervals of range, time, or depth and in any format are suitable for input into the STAMP program. The scope of statistical analysis covers one and two dimensional analysis of variance and linear regression analysis with identification and removal of significant polynomial components of variance (trends). Both parametric and non-parametric analyses are employed to describe the statistical characteristics of the basic data set and to make confidence and reliability statements about (1) individuals of a distribution, (2) means, and (3) variances. Statistics related to the amplitudes by which a given threshold is exceeded and the intervals for which it is exceeded are also calculable by the STAMP program. Stationarity of means, variances, and distributions are a basic type of analysis. Although the program's emphasis is on statistics, STAMP includes a variety of other general-purpose functions that extend its processing capabilities.

Document Details

Document Type
Technical Report
Publication Date
Feb 02, 1976
Accession Number
ADA020742

Entities

People

  • George Botseas
  • John Skory

Organizations

  • Naval Underwater Systems Center

Tags

DTIC Thesaurus Topics

  • Acoustic Measurement
  • Analysis Of Variance
  • Data Analysis
  • Data Mining
  • Data Science
  • Data Sets
  • Information Processing
  • Information Science
  • Linear Regression Analysis
  • Parametric Analysis
  • Regression Analysis
  • Statistical Analysis
  • Statistical Tests
  • Statistics
  • Two Dimensional

Fields of Study

  • Mathematics

Readers

  • Approximation Theory.
  • Computer Science.
  • Theoretical Analysis.