この商品を友人に教える:
Time Series with Mixed Spectra Li, Ta-Hsin (IBM Watson Research Center, Yorktown Heights, New York, USA) 第1 版
遠隔倉庫からの取り寄せ
他の形態でも入手可能：
Time Series with Mixed Spectra
Li, Ta-Hsin (IBM Watson Research Center, Yorktown Heights, New York, USA)
Time series with mixed spectra are characterized by hidden periodic components buried in random noise. Despite strong interest in the statistical and signal processing communities, no book offers a comprehensive and up-to-date treatment of the subject. Filling this void, Time Series with Mixed Spectra focuses on the methods and theory for the statistical analysis of time series with mixed spectra. It presents detailed theoretical and empirical analyses of important methods and algorithms.
Using both simulated and real-world data to illustrate the analyses, the book discusses periodogram analysis, autoregression, maximum likelihood, and covariance analysis. It considers real- and complex-valued time series, with and without the Gaussian assumption. The author also includes the most recent results on the Laplace and quantile periodograms as extensions of the traditional periodogram.
Complete in breadth and depth, this book explains how to perform the spectral analysis of time series data to detect and estimate the hidden periodicities represented by the sinusoidal functions. The book not only extends results from the existing literature but also contains original material, including the asymptotic theory for closely spaced frequencies and the proof of asymptotic normality of the nonlinear least-absolute-deviations frequency estimator.
680 pages, 19 Tables, black and white; 105 Illustrations, black and white
| メディア | 書籍 Paperback Book (ソフトカバーで背表紙を接着した本) |
| リリース済み | 2019年6月12日 |
| ISBN13 | 9781138374959 |
| 出版社 | Taylor & Francis Ltd |
| ページ数 | 680 |
| 寸法 | 236 × 156 × 45 mm · 1,04 kg |
| 言語 | 英語 |
