ON NONPARAMETRIC TESTING OF THE NATURE OF CERTAIN TIME SERIES,

Abstract

Nonparametric tests were adapted and used to determine if a given set of samples from a time series is stationary, tau-dependent and Markov. Results obtained from analyzing (testing) a number sequence generated by a random number generator and sets of wind speed and direction data collected at White Sands Missile Range are presented. (Author)

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1967
Accession Number
AD0654992

Entities

People

  • Henry Rachele
  • Walter B. Miller

Organizations

  • Atmospheric Sciences Laboratory

Tags

DTIC Thesaurus Topics

  • Computer Programs
  • Digital Information
  • Generators
  • Random Number Generators
  • Sequences
  • Stationary

Readers

  • Fluid Dynamics.
  • Mathematical Modeling and Probability Theory.
  • Neural Network Machine Learning.