预订 Singular Spectrum Analysis with R [ISBN:9783662573785] 【全球购】进口原版图书,约5-8周到达国内后发出
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预订 Singular Spectrum Analysis with R 9783662573785 海外仓库发货,通常付款后4-9周到货!
图书信息 书号: 9783662573785 作者: Nina Golyandina 装帧: 平装-胶订 页数: 272页 出版社: Springer 尺寸: 0.9 x 0.6 x 0.1 cm 出版日期: 2018-07-27 重量: 1g 语种: 其它(含多语) 内容简介 This comprehensive and richly illustrated volume provides up-to-date materia
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预订 Singular Spectrum Analysis for Time Series [ISBN:97836626 【全球购】进口原版图书,约5-8周到达国内后发出
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【预订】Singular Spectrum Analysis for Time Series 9783662624357 国外库房发货,通常付款后3-5周到货!
Product Details 基本信息 ISBN-13 书号 9783662624357 Author 作者 Golyandina Nina Format 版本 平装-胶订 Pages Number 页数 146页 Publisher 出版社 Springer Berlin Heidelberg Publication Date 出版日期 2021-01-01 Language 语种 其它(含多语) Book Contents 内容简介 This book gives an overview of singular spectrum analysis (SSA). SSA is a technique of time series analysis and forecasting combining elements of classical time series analysis, multivariate statistics, multivariate geometry, dynamical systems and signal processing. SSA is multi-purpose and naturally combines both model-free and parametric techniques, which makes it a very special and attractive methodology for solving a wide range of problems arising in diverse areas. Rapidly increasing number of novel applications of SSA is a consequence of the new fundamental research on SSA and the recent progress in computing and software engineering whic
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海外直订Singular Spectrum Analysis with R 用R
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海外直订Analysis of Time Series Structure 时间序列结构分析
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【预订】Singular Spectrum Analysis with R 9783662573785 美国库房发货,通常付款后3-5周到货!
Product Details 基本信息 ISBN-13 书号 9783662573785 Author 作者 Golyandina Format 版本 平装-胶订 Pages Number 页数 272页 Publication Date 出版日期 2018-07-27 Language 语种 英语 Book Contents 内容简介 This comprehensive and richly illustrated volume provides up-to-date material on Singular Spectrum Analysis (SSA). SSA is a well-known methodology for the analysis and forecasting of time series. Since quite recently, SSA is also being used to analyze digital images and other objects that are not necessarily of planar or rectangular form and may contain gaps. SSA is multi-purpose and naturally combines both model-free and parametric techniques, which makes it a very special and attractive methodology for solving a wide range of problems arising in diverse areas, most notably those associated with time series and digital images. An effective, comfortable and accessible implementation of SSA is provided by the R-packa
¥681.00