Time Series Analysis by Hamilton

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SUMMARY

The forum discussion centers on James Douglas Hamilton's book "Time Series Analysis," which is available on Amazon. While the author has not personally utilized Hamilton's work, they recommend the book by George E. P. Box and Gwilym M. Jenkins, as well as the contributions of Robert H. Shumway and David S. Stoffer. The consensus indicates that Tsay's methodologies are regarded as standard in the field of time series analysis.

PREREQUISITES
  • Familiarity with time series data concepts
  • Understanding of statistical modeling techniques
  • Knowledge of Box-Jenkins methodology
  • Basic proficiency in R or Python for time series analysis
NEXT STEPS
  • Study the Box-Jenkins methodology for time series forecasting
  • Learn about the ARIMA model and its applications
  • Explore the "forecast" package in R for time series analysis
  • Investigate the "statsmodels" library in Python for time series modeling
USEFUL FOR

Data scientists, statisticians, and researchers involved in time series analysis and forecasting who seek to deepen their understanding of established methodologies and tools.

For those who have used this book

  • Lightly Recommend

    Votes: 0 0.0%
  • Lightly don't Recommend

    Votes: 0 0.0%
  • Strongly don't Recommend

    Votes: 0 0.0%

  • Total voters
    1
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Never used Hamilton, but Tsay is good and seems pretty standard.
 

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