Methods and Applications of Time Series Analysis. Part I. Regression, Trends, Smoothing, and Differencing.

Abstract

This is the first in a series of technical reports developing the most modern procedures of time series analysis and forecasting for use in engineering, the physical sciences, and the social sciences. The exposition of methodology is based on a succinct presentation of the theoretical background and is illustrated with appropriate examples from engineering, maintenance and reliability, economics, and other physical and social sciences. The first is concerned with Regression, Trends, Smoothing, and Differencing. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1980
Accession Number
ADA092575

Entities

People

  • N. D. Singpurwalla
  • Theodore W. Anderson

Organizations

  • Stanford University

Tags

Communities of Interest

  • Biomedical
  • C4I

DTIC Thesaurus Topics

  • Data Mining
  • Data Science
  • Equations
  • Estimators
  • Information Science
  • Knowledge Management
  • Maximum Likelihood Estimation
  • Periodic Functions
  • Random Variables
  • Regression Analysis
  • Seasonal Variations
  • Social Sciences
  • Stationary Processes
  • Statistical Algorithms
  • Statistical Analysis
  • Stochastic Processes
  • United States

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Regression Analysis.
  • Technical Research and Report Writing.