Long-Memory Time Series
eBook - PDF

Long-Memory Time Series

Theory and Methods

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Long-Memory Time Series

Theory and Methods

About this book

A self-contained, contemporary treatment of the analysis of long-range dependent data

Long-Memory Time Series: Theory and Methods provides an overview of the theory and methods developed to deal with long-range dependent data and describes the applications of these methodologies to real-life time series. Systematically organized, it begins with the foundational essentials, proceeds to the analysis of methodological aspects (Estimation Methods, Asymptotic Theory, Heteroskedastic Models, Transformations, Bayesian Methods, and Prediction), and then extends these techniques to more complex data structures.

To facilitate understanding, the book:

  • Assumes a basic knowledge of calculus and linear algebra and explains the more advanced statistical and mathematical concepts

  • Features numerous examples that accelerate understanding and illustrate various consequences of the theoretical results

  • Proves all theoretical results (theorems, lemmas, corollaries, etc.) or refers readers to resources with further demonstration

  • Includes detailed analyses of computational aspects related to the implementation of the methodologies described, including algorithm efficiency, arithmetic complexity, CPU times, and more

  • Includes proposed problems at the end of each chapter to help readers solidify their understanding and practice their skills

A valuable real-world reference for researchers and practitioners in time series analysis, economerics, finance, and related fields, this book is also excellent for a beginning graduate-level course in long-memory processes or as a supplemental textbook for those studying advanced statistics, mathematics, economics, finance, engineering, or physics. A companion Web site is available for readers to access the S-Plus and R data sets used within the text.

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Yes, you can access Long-Memory Time Series by Wilfredo Palma in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Contents
  5. Preface
  6. Acronyms
  7. Chapter 1 Stationary Processes
  8. Chapter 2 State Space Systems
  9. Chapter 3 Long-Memory Processes
  10. Chapter 4 Estimation Methods
  11. Chapter 5 Asymptotic Theory
  12. Chapter 6 Heteroskedastic Models
  13. Chapter 7 Transformations
  14. Chapter 8 Bayesian Methods
  15. Chapter 9 Prediction
  16. Chapter 10 Regression
  17. Chapter 11 Missing Data
  18. Chapter 12 Seasonality
  19. References
  20. Topic Index
  21. Author Index
  22. EULA