Modelling our Changing World [electronic resource] / by Jennifer L. Castle, David F. Hendry.

By: Castle, Jennifer L [author.]
Contributor(s): Hendry, David F [author.] | SpringerLink (Online service)
Material type: TextTextSeries: Palgrave Texts in Econometrics: Publisher: Cham : Springer International Publishing : Imprint: Palgrave Pivot, 2019Edition: 1st ed. 2019Description: XIX, 128 p. 42 illus. in color. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783030214326Subject(s): Econometrics | Environmental economics | Economic history | Econometrics | Environmental Economics | History of Economic Thought/MethodologyAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 330.015195 LOC classification: HB139-141Online resources: Click here to access online
Contents:
Chapter 1: Introduction -- Chapter 2: Key Concepts: A Series of Primers -- Chapter 3: Why is the World Always Changing? -- Chapter 4: Making Trends and Breaks Work for us -- Chapter 5: Indicator Saturation Methods -- Chapter 6: Combining Theory and Data -- Chapter 7: Seeing into the Future -- Chapter 8: Conclusions. .
In: Springer Nature Open Access eBookSummary: This open access book focuses on the concepts, tools and techniques needed to successfully model ever-changing time-series data. It emphasizes the need for general models to account for the complexities of the modern world and how these can be applied to a range of issues facing Earth, from modelling volcanic eruptions, carbon dioxide emissions and global temperatures, to modelling unemployment rates, wage inflation and population growth. Except where otherwise noted, this book is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0.
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Chapter 1: Introduction -- Chapter 2: Key Concepts: A Series of Primers -- Chapter 3: Why is the World Always Changing? -- Chapter 4: Making Trends and Breaks Work for us -- Chapter 5: Indicator Saturation Methods -- Chapter 6: Combining Theory and Data -- Chapter 7: Seeing into the Future -- Chapter 8: Conclusions. .

Open Access

This open access book focuses on the concepts, tools and techniques needed to successfully model ever-changing time-series data. It emphasizes the need for general models to account for the complexities of the modern world and how these can be applied to a range of issues facing Earth, from modelling volcanic eruptions, carbon dioxide emissions and global temperatures, to modelling unemployment rates, wage inflation and population growth. Except where otherwise noted, this book is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0.

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