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Spectral analysis for univariate time series

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Spectral analysis for univariate time...

Spectral analysis for univariate time series

Percival D.B., Walden A.T

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Kategoriler:

Computers - Programming

Yıl:

2020

Yayımcı:

Cambridge University Press

Dil:

english

Sayfalar:

717

ISBN 10:

1321331371

ISBN 13:

9781321331370

Dosya:

PDF, 9.80 MB

IPFS:

,

english, 2020

Online Oku

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İlginizi çekebilir

Rafal Kulik, Philippe Soulier — Heavy-Tailed Time Series

Donald B. Percival, Andrew T. Walden — Spectral Analysis for Univariate Time Series

Lambert H. Koopmans — The Spectral Analysis of Time Series (Probability and Mathematical Statistics)

Martin Schweiger — Spectral Analysis Talk

Jenkins G.M., Watts D.G. — Spectral Analysis and its applications

Genshiro Kitagawa — Introduction to Time Series Modeling (Chapman & Hall CRC Monographs on Statistics & Applied Probability)

D. Percival, et. al., — Spectral Analysis for Physical Applns. [math]

Priestley M.B. — Spectral Analysis and Time Series

Brillinger D.R., Krishnaiah P.R. — Handbook of Statistics, Vol. 3. Time Series in the Frequency Domain

Shiavi — Introduction to Applied Statistical Signal Analysis

David Findley — Applied Time Series Analysis II. Proceedings of the Second Applied Time Series Symposium Held in Tulsa, Oklahoma, March 3–5, 1980

M. B. Priestley — Spectral Analysis and Time Series. Volume 1: Univariate Series.

— Introduction To Spectral Analysis

William A. Gardner — Statistical Spectral Analysis: A Non-Probabilistic Theory

Jeffrey S. Simonoff — Smoothing Methods in Statistics (Springer Series in Statistics)

Jeffrey D. Hart — Nonparametric smoothing and lack-of-fit tests

G. Larry Bretthorst [Bretthorst, G. Larry] — Bayesian Spectrum Analysis and Parameter Estimation

Ta-Hsin Li (Author) — Time Series with Mixed Spectra

P. R. Krishnaiah — Handbook of Statistics 3: Time Series in the Frequency Domain

Julius S. Bendat, Allan G. Piersol(auth.) — Random Data: Analysis and Measurement Procedures, Fourth Edition

David W. Scott — Multivariate density estimation: theory, practice, and visualization

Peter Bloomfield — Fourier analysis of time series

David W. Scott — Multivariate Density Estimation: Theory, Practice, and Visualization

S. Lawrence Marple Jr. — Digital Spectral Analysis: Second Edition (Dover Books on Electrical Engineering)

Donald B. Percival, Andrew T. Walden — Spectral analysis for physical applications

Donald B. Percival, Andrew T. Walden — Spectral analysis for physical applications

B. G. Quinn, E. J. Hannan — The Estimation and Tracking of Frequency

George S. Fishman — Spectral methods in econometrics

Hassab, Joseph C — Underwater signal and data processing

David R. Brillinger — Time Series: Data Analysis and Theory (Classics in Applied Mathematics, 36)

Francis Castanié — Digital Spectral Analysis: parametric, non-parametric and advanced methods

Ta-Hsin Li — Time Series with Mixed Spectra

Robert H. Shumway; David S. Stoffer — Time Series Analysis and Its Applications With R Examples

Jeffrey D. Hart (auth.) — Nonparametric Smoothing and Lack-of-Fit Tests

G. Larry Bretthorst (auth.) — Bayesian Spectrum Analysis and Parameter Estimation

Francis Castanié — Spectral analysis parametric and non-parametric digital methods

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