Forecasts equal the value from the same season of the previous year.

Covers advanced techniques like dynamic regression, ETS, and neural networks.

Forecasts are equal to the average of historical data.

A Professor of Econometrics and Business Statistics, also at Monash University, specializing in multivariate time series analysis. The Ecosystem

The book is structured to build knowledge logically, from foundational concepts to advanced applications.

The 3rd edition of this textbook introduces several enhancements to better align with current data science workflows:

The book is entirely supported by modern R packages, making implementation straightforward.

: Essential tools such as simple forecasting methods (Naïve, Seasonal Naïve), transformations, and evaluating forecast accuracy Exponential Smoothing : Detailed coverage of ETS (Error, Trend, Seasonal) models. ARIMA Models