English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Open

In many applications, such as physiology and finance, large time series databases are to be analyzed requiring the computation of linear, nonlinear andother measures. Such measures have been developed and implemented in commercialand freeware softwares rather selectively and independently. The Measures ofAnalysis of Time Series ({\tt MATS}) {\tt MATLAB} toolkit is designed to handlean arbitrary large set of scalar time series and compute a large variety ofmeasures on them, allowing for the specification of varying measure parametersas well. The variety of options with added facilities for visualization of theresults support different settings of time series analysis, such as thedetection of dynamics changes in long data records, resampling (surrogate orbootstrap) tests for independence and linearity with various test statistics,and discrimination power of different measures and for different combinationsof their parameters. The basic features of {\tt MATS} are presented and theimplemented measures are briefly described. The usefulness of {\tt MATS} isillustrated on some empirical examples along with screenshots.

Measures of Analysis of Time Series (MATS): A MATLAB Toolkit for Computation of Multiple Measures on Time Series Data Bases