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Time series and networks analysis = a hands-on approach (Matlab & Octave) /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Time series and networks analysis/ by Theodoros Karakasidis, Avraam Charakopoulos.
其他題名:	a hands-on approach (Matlab & Octave) /
作者:	Karakasidis, Theodoros.
其他作者:	Charakopoulos, Avraam.
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xi, 180 p. :ill. (chiefly col.), digital ;24 cm.
內容註:	Introduction -- Time series statistics -- Time domain analysis -- Correlation and causality -- Clustering time series -- Nonlinear analysis -- Complex network time series -- Topological properties of networks -- Introduction to machine learning -- Unsupervised / Supervised method -- Machine learning and networks -- Analyzing large simulation results -- Examples of Experimental Data -- Examples of Field Measurement Data -- Examples of Finance Data.
Contained By:	Springer Nature eBook
標題:	Numerical analysis - Computer programs. -
電子資源:	https://doi.org/10.1007/978-3-031-92628-0
ISBN:	9783031926280

Time series and networks analysis = a hands-on approach (Matlab & Octave) /
Karakasidis, Theodoros.

Time series and networks analysisa hands-on approach (Matlab & Octave) /[electronic resource] :by Theodoros Karakasidis, Avraam Charakopoulos. - Cham :Springer Nature Switzerland :2025. - xi, 180 p. :ill. (chiefly col.), digital ;24 cm.

Introduction -- Time series statistics -- Time domain analysis -- Correlation and causality -- Clustering time series -- Nonlinear analysis -- Complex network time series -- Topological properties of networks -- Introduction to machine learning -- Unsupervised / Supervised method -- Machine learning and networks -- Analyzing large simulation results -- Examples of Experimental Data -- Examples of Field Measurement Data -- Examples of Finance Data.

This textbook provides students with a hands-on introduction to time series analysis. Readers will learn the potential of the methods but also benefit from a step-by-step guide to apply them on simple data, as well as applications in real science in domains such as physics, environmental science, physics of fluids, simulation analysis etc. The authors emphasize application of the techniques and modern methodologies for time series analysis, using examples to demonstrate techniques introduced, including detailed, step-by-step solutions. Octave and Matlab are used as the computational environment for the applications, since the readers can find programs easily for many applications. The commands are clearly explained and the files are provided in the text and online. Offers textbook coverage of applied time series analysis; Introduces theory as necessary, while emphasizing application of the techniques and modern methodologies for time series analysis; Uses applied examples to demonstrate techniques introduced, including detailed, step-by-step solutions.

ISBN: 9783031926280

Standard No.: 10.1007/978-3-031-92628-0doiSubjects--Uniform Titles:

MATLAB.
Subjects--Topical Terms:

543757
Numerical analysis
--Computer programs.

LC Class. No.: QA280

Dewey Class. No.: 519.55

Time series and networks analysis = a hands-on approach (Matlab & Octave) /
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520 $a This textbook provides students with a hands-on introduction to time series analysis. Readers will learn the potential of the methods but also benefit from a step-by-step guide to apply them on simple data, as well as applications in real science in domains such as physics, environmental science, physics of fluids, simulation analysis etc. The authors emphasize application of the techniques and modern methodologies for time series analysis, using examples to demonstrate techniques introduced, including detailed, step-by-step solutions. Octave and Matlab are used as the computational environment for the applications, since the readers can find programs easily for many applications. The commands are clearly explained and the files are provided in the text and online. Offers textbook coverage of applied time series analysis; Introduces theory as necessary, while emphasizing application of the techniques and modern methodologies for time series analysis; Uses applied examples to demonstrate techniques introduced, including detailed, step-by-step solutions.
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