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519.55

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519.55

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519.55

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24

Threshold models in non-linear time series analysis, Howell Tong

Robust and nonlinear time series analysis proceedings, ed. J. Franke, W. Hardle and D. Martin

Introductory time series with R, Paul S.P. Cowpertwait, Andrew V. Metcalfe

Applied time series analysis II, Edited by David F. Findley

Time series analysis, forecasting and control, George E.P. Box, Gwilym M. Jenkins, Gregory C. Reinsel

Time series, theory and methods, Peter J. Brockwell, Richard A. Davis

Hidden Markov models for time series, an introduction using R, Walter Zucchini, Iain L. MacDonald

Introduction to time series and forecasting, Peter J. Brockwell, Richard A. Davis

Time series analysis of irregulary observed data, ed. Emanuel Parzen

Time series analysis, forecasting and control, George E. P. Box, Gwilym M. Jenkins

Spectral analysis of time-series data, Rebecca M. Warner

Time series analysis, theory and practice 6 : hydrological, geophysical, and spatial applications : proceedings, Edited by O. D. Anderson, J.K. Ord and E.A. Robinson

Time series analysis, forecasting and control, G. E. P. Box and G. M. Jenkins

Time series analysis and its applications, Robert H. Shumway, David S. Stoffer

Wavelet methods for time series analysis, Donald B. Percival, Andrew T. Walden

Hidden Markov models for time series, an introduction using R, Walter Zucchini, Iain L. MacDonald, Roland Langrock

An introduction to bispectral analysis and bilinear time series models, T. Subba Rao and M.M. Gabr

Modern Time Series Forecasting with Python, explore industry-ready time series forecasting using modern machine learning and deep learning, Manu Joseph

Parameter estimation and hypothesis testing in spectral analysis of stationary time series/, K. Dzhaparidze; translated by Samuel Kotz

Análisis espectral singular de series de tiempo, aplicaciones del análisis espectral singular, Alejandro Ramirez Nuñez, Sergio F. Juárez C., Francisco J. Ariza Hdez

Time series: data analysis and theory, [by] David R. Brillinger

Time series analysis, James D. Hamilton

Long-memory time series, theory and methods, Wilfredo Palma

Forecasting, structural time series models, and the Kalman filter, Andrew Harvey