Accession Number : ADA257279


Title :   Stationary Time Series Analysis Using Information and Spectral Analysis


Descriptive Note : Technical rept.


Corporate Author : TEXAS A AND M UNIV COLLEGE STATION


Personal Author(s) : Parzen, Emanuel


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a257279.pdf


Report Date : Sep 1992


Pagination or Media Count : 15


Abstract : The technical aims of this paper are: to discuss some roles of information ideas and spectral analysis in time series analysis (sections 1 and 2); extend spectral estimation by exponential models and extend (to time series) goodness of fit tests by components (sections 3 and 4). Section 0 presents some philosophy. The practice of statistics and time series analysis can stand on the shoulders of giants if we develop a framework which unifies diverse methods. Information ideas are central to a unified framework since they clarify and extend methods by providing many levels of relationship between time series analysis, classical statistical methods for independent samples, and signal processing problems called inverse problems with positivity constraints. Entropy; Renyi information; Stationary time series; Spectral exponential models; Spectral components.


Descriptors :   *TIME SERIES ANALYSIS , *STATIONARY , TEST AND EVALUATION , SIGNAL PROCESSING , MODELS , PHILOSOPHY , ENTROPY , GOODNESS OF FIT TESTS , PAPER , SIGNALS , TIME , PROCESSING , STATISTICS


Subject Categories : Numerical Mathematics


Distribution Statement : APPROVED FOR PUBLIC RELEASE