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

Por: Colaborador(es): Tipo de material: TextoTextoSeries Palgrave Texts in EconometricsEditor: Cham : Springer International Publishing : Imprint: Palgrave Pivot, 2019Edición: 1st ed. 2019Descripción: XIX, 128 páginas42 ilustraciones in color. online resourceTipo de contenido:
  • texto
Tipo de medio:
  • computadora
Tipo de soporte:
  • recurso en línea
ISBN:
  • 9783030214326
Tema(s): Formatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD:
  • 330.015195 23
Recursos en línea:
Contenidos:
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. .
En: Springer Nature eBookResumen: 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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