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Synopsis
Excerpt from Statistical Analysis of Stationary Time Series<br><br><br><br>About the Publisher<br><br>Forgotten Books publishes hundreds of thousands of rare and classic books.<br><br>This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works. This text has been digitally restored from a historical edition. Some errors may persist, however we consider it worth publishing due to the work's historical value.<BR>The digital edition of all books may be viewed on our website before purchase.
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Statistical Analysis of Stationary Time Series (Classic Reprint)
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
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PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur LW-9781527797307
Quantité disponible : 15 disponible(s)
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Statistical Analysis of Stationary Time Series (Classic Reprint)
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur LW-9781527797307
Quantité disponible : 15 disponible(s)
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Statistical Analysis of Stationary Time Series (Classic Reprint)
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Forgotten Books, 2017
ISBN 10 : 1527797309
ISBN 13 : 9781527797307
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Couverture souple
Vendeur : Buchpark, Trebbin, Allemagne
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Etat : Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher. N° de réf. du vendeur 30279050/2
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Statistical Analysis of Stationary Time Series (Classic Reprint)
impression à la demandeVendeur : Forgotten Books, London, Royaume-Uni
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Paperback. Etat : New. Print on Demand. This book dives into the world of time series analysis, a powerful tool for understanding data that changes over time. The author examines how stationary stochastic processes, those with unchanging probability distributions, can be applied to real-world phenomena like random noise, turbulence, and ocean waves. Departing from earlier, limited models that focused on a small number of parameters, the book champions a nonparametric approach that can handle a much wider range of possibilities. This allows for more flexible and accurate analysis of data, especially when prior knowledge about the process is limited. The text delves into the mathematics of representing stationary processes using spectral densities, examining how these densities can be estimated and used to make predictions about future data points. The author also explores techniques for estimating regression coefficients and detecting signals within noisy data. By providing a more nuanced and general framework for time series analysis, the book offers a valuable tool for researchers across fields, empowering them to uncover hidden patterns and draw insightful conclusions from complex datasets. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. N° de réf. du vendeur 9781527797307_0
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