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Journal ArticleDOI

General Considerations in the Analysis of Spectra

G. M. Jenkins
- 01 May 1961 - 
- Vol. 3, Iss: 2, pp 133-166
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TLDR
This paper is to present a simplified account of the motivation behind the spectral analysis of time-series and to give a heuristic discussion of the statistical problems which arise.
Abstract
The object of this paper is to present a simplified account of the motivation behind the spectral analysis of time-series and to give a heuristic discussion of the statistical problems which arise. It is directed mainly at statisticians with little experience of the theory and applications of spectral analysis. It is of necessity short and omits a great deal of important detail. A much lengthier exposition for non-statisticians is in the course of preparation.

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Citations
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Journal ArticleDOI

Spectrum analysis—A modern perspective

TL;DR: In this paper, a summary of many of the new techniques developed in the last two decades for spectrum analysis of discrete time series is presented, including classical periodogram, classical Blackman-Tukey, autoregressive (maximum entropy), moving average, autotegressive-moving average, maximum likelihood, Prony, and Pisarenko methods.
Journal ArticleDOI

An Introduction to Polyspectra

TL;DR: In this article, the higher-order spectra or polyspectra of multivariate stationary time series were derived from an observed stretch of time series and several applications of the results obtained.
Journal ArticleDOI

Engineering Applications of Correlation and Spectral Analysis

TL;DR: In this paper, the authors present a survey of the application of correlation and spectral analysis in the engineering applications of Correlation and Spectral Analysis (CSA) in the context of correlation analysis.
Journal ArticleDOI

The quasi-periodic behavior of rainfall variability in Africa and its relationship to the southern oscillation

TL;DR: In this article, the temporal characteristics of rainfall variability in Africa are examined using departure series for 84 regions of the continent and five larger-scale zones, and the forms of non-randomness which are investigated include linear trends, persistence and quasi-periodic fluctuations.
References
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Book

The Measurement Of Power Spectra: From The Point Of View Of Communications Engineering

TL;DR: This account attempts to provide and relate the necessary ideas and techniques in reasonable detail to develop the insight necessary to plan both the acquisition of adequate data and sound procedures for its reduction to meaningful estimates.
Book

Statistical analysis of stationary time series

TL;DR: In this article, the spectrum is estimated by using a regression spectrum and the regression spectrum is then used to estimate the spectral density of a time series with respect to the spectrum of the time series.