Journal ArticleDOI
Spectral Analysis Combining a Bartlett Window With an Associated Inner Window
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In this paper, the authors proposed a spectrum estimation method that allows very strong frequencies to affect the spectrum estimates at distant frequencies, because the weighting function (spectrum window) cannot be made identical.Abstract:
Usual methods of spectrum estimation allow very strong frequencies to affect the spectrum estimates at distant frequencies, because the weighting function (spectrum window) cannot be made identical...read more
Citations
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Spectrum analysis—A modern perspective
Steven Kay,S.L. Marple +1 more
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.
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Design of computer simulation experiments for industrial systems
TL;DR: Computer simulation experiments design for industrial systems, considering variance techniques, multiple ranking procedures, sequential sampling and spectral analysis, and single ranking procedures.
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Spectral analysis of data generated by simulation experiments with econometric models
TL;DR: In this paper, the use of spectral analysis to analyze data generated by computer simulation experiments with models of economic systems is discussed. But the authors do not consider the impact of these experiments on the actual economic system.
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Multiscale analysis of palynological records: new possibilities
TL;DR: The central question for a usable Statistics is this: how to incorporate scale into the analysis and still have a unique conclusion.
References
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Journal ArticleDOI
The Measurement of Power Spectra
Journal ArticleDOI
Stochastic Models for Learning. By Robert R. Bush and Frederick Mosteller. Pp. xvi, 365. 72s. 1955. (John Wiley and Sons, New York; Chapman and Hall, London)
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Discussion, Emphasizing the Connection Between Analysis of Variance and Spectrum Analysis*
TL;DR: In this paper, a classical analysis of variance, based on a pattern involving d observations in each of the r.c cells formed by crossing r rows with c columns, is studied.
Curves As Parameters, and Touch Estimation
TL;DR: In this paper, the authors make clear that certain problems of interpretation which arise in estimating power spectra of stationary time series are entirely analogous to problems arising in carrying out two very elementary and classical statistical procedures, and develop new concepts of estimation which clarify the interpretation of all three instances.