New PDF release: Applied Nonlinear Time Series Analysis: Applications in

By Michael Small

ISBN-10: 981256117X

ISBN-13: 9789812561176

ISBN-10: 9812567771

ISBN-13: 9789812567772

Nonlinear time sequence tools have constructed swiftly over 1 / 4 of a century and feature reached a sophisticated nation of adulthood over the last decade. Implementations of those tools for experimental info at the moment are largely approved and reasonably regimen; although, certainly worthy purposes stay infrequent. This ebook specializes in the perform of utilizing those the right way to resolve actual difficulties. to demonstrate the usefulness of those equipment, a wide selection of actual and physiological structures are thought of. The technical instruments used in this ebook fall into 3 specific, yet interconnected components: quantitative measures of nonlinear dynamics, Monte-Carlo statistical speculation checking out, and nonlinear modeling. Ten hugely particular purposes function case experiences of fruitful purposes and illustrate the mathematical strategies defined within the textual content.

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Additional info for Applied Nonlinear Time Series Analysis: Applications in Physics, Physiology and Finance

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B) Dot charts are best for communicating general patterns and comparisons. c) Maps are best for communicating spatial relationships.

B) Dot charts are best for communicating general patterns and comparisons. c) Maps are best for communicating spatial relationships.

Prevalence, by Area c. Prevalence, by Area Area 1 5 7 3 9 8 4 6 2 --------------------------• -------------------------• ------------------------• ------------------• -----------------• ------------• -----------• ----• • 0 5 10 15 20 Rate (%) Dangerous High Moderate Low None Figure 9. Tables and figures should be used to communicate information, not simply to store data. a) Tables are best for communicating or referencing precise numerical data. b) Dot charts are best for communicating general patterns and comparisons.

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Applied Nonlinear Time Series Analysis: Applications in Physics, Physiology and Finance by Michael Small


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