Spectral Analysis, Estimation, and Prediction of Multiple Harmonizable Time Series

Abstract

The problems of moving average representations of weakly harmonizable processes, extending the corresponding results on stationary processes, is of interest both-theoretically and for applications. Completing some earlier work on the computational problems of conditional probabilities, some unresolved questions are highlighted with illustrations in another paper.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1990
Accession Number
ADA266758

Entities

People

  • M. M. Rao

Organizations

  • Sarnoff Corporation

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Banach Space
  • Contracts
  • Data Analysis
  • Data Science
  • Information Science
  • Mathematics
  • New York
  • Physical Sciences
  • Probability
  • Sampling
  • Stationary
  • Stationary Processes
  • Statistical Data
  • Statistics
  • Students
  • Theses
  • Universities

Fields of Study

  • Mathematics

Readers

  • Computational Fluid Dynamics (CFD)
  • Mathematical Modeling and Probability Theory.