Research Methods & Advanced Statistics

Time Series Analysis: Forecasting and Control

George Box, Gwilym Jenkins, Gregory Reinsel, Greta Ljung
Research Methods & Advanced Statistics

Time Series Analysis: Forecasting and Control

The classic ARIMA time series text.

✍ George Box, Gwilym Jenkins, Gregory Reinsel, Greta Ljung🎓 MS · PhD📘 5 key topics
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Introduction

The classic ARIMA time series text. Amathify's subject experts and PhD scholars solve its exercises, numerical problems and end-of-chapter questions step by step, and we also help with assignments based on this statistics and research book.

At Amathify, our subject experts and PhD scholars write every solution for Time Series Analysis: Forecasting and Control in full: the question, the method, each line of working and the final answer, with short notes explaining which rule or theorem is used. It is ideal for homework, assignment checking and exam revision.

What this book covers

  1. Research design
  2. Data collection and sampling
  3. Statistical analysis
  4. Interpreting and reporting results
  5. Software (SPSS, R, Stata, Python)

What you get

  • Exercise-wise solutions in textbook order
  • Every step shown with the rule or formula used
  • Proofs and derivations written in full
  • Help with assignments and past papers from this book
  • Assignment writing on topics from this book
  • Solved by subject experts and PhD scholars

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