<電子ブック>
Time Series Analysis and Applications to Geophysical Systems : Part I / edited by David Brillinger, Peter Caines, John Geweke, Emanuel Parzen, Murray Rosenblatt, Murad S. Taqqu
(The IMA Volumes in Mathematics and its Applications. ISSN:21983224 ; 45)
版 | 1st ed. 2004. |
---|---|
出版者 | (New York, NY : Springer New York : Imprint: Springer) |
出版年 | 2004 |
本文言語 | 英語 |
大きさ | XVIII, 389 p : online resource |
著者標目 | Brillinger, David editor Caines, Peter editor Geweke, John editor Parzen, Emanuel editor Rosenblatt, Murray editor Taqqu, Murad S editor SpringerLink (Online service) |
件 名 | LCSH:Mathematical analysis FREE:Analysis |
一般注記 | Interpretation of Seismic Signals -- Nonparametric deconvolution of seismic depth phases -- State space approach to signal extraction problems in seismology -- Improved signal transmission through randomization -- Online analysis of seismic signals -- Temperature Data -- Nonstationary time series analysis of monthly global temperature anomalies -- A test for detecting changes in mean -- Spatio-temporal modelling of temperature time series: a comparative study -- Modeling North Pacific climate time series -- Assortment of Important Time Series Problems and Applications -- Skew-elliptical time series with application to flooding risk -- Hidden periodicities analysis and its application in geophysics -- The innovation approach to the identification of nonlinear causal models in time series analysis -- Non-Gaussian time series models -- Modeling continuous time series driven by fractional Gaussian noise -- List of Workshop participants Part of a two volume set based on a recent IMA program of the same name. The goal of the program and these books is to develop a community of statistical and other scientists kept up-to-date on developments in this quickly evolving and interdisciplinary field. Consequently, these books present recent material by distinguished researchers. Topics discussed in Part I include nonlinear and non- Gaussian models and processes (higher order moments and spectra, nonlinear systems, applications in astronomy, geophysics, engineering, and simulation) and the interaction of time series analysis and statistics (information model identification, categorical valued time series, nonparametric and semiparametric methods). Self-similar processes and long-range dependence (time series with long memory, fractals, 1/f noise, stable noise) and time series research common to engineers and economists (modeling of multivariate and possibly non-stationary time series, state space and adaptive methods) are discussed in Part II HTTP:URL=https://doi.org/10.1007/978-1-4612-2962-9 |
目次/あらすじ
所蔵情報を非表示
電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
電子ブック | オンライン | 電子ブック |
|
Springer eBooks | 9781461229629 |
|
電子リソース |
|
EB00235498 |
書誌詳細を非表示
データ種別 | 電子ブック |
---|---|
分 類 | LCC:QA299.6-433 DC23:515 |
書誌ID | 4000105568 |
ISBN | 9781461229629 |
類似資料
この資料の利用統計
このページへのアクセス回数:3回
※2017年9月4日以降