Questions

The answers to the following questions can be found in the Assessment section at the end of the book:

1. What is a discrete Time Series?
   1. A collection of observations made continuously over time.
   2. A series where there can be an infinite number of observations in a given time range.
   3. A collection of observations that are sampled regularly at specific times, typically equally spaced.
   4. A series where observations follow a Bernoulli distribution.
2. Which of the following is not a typical goal pursued in Time Series Analysis?
   1. Causal effect discovery and simulation.
   2. Function approximation.
   3. Anomaly detection and process control.
   4. Forecasting.
3. Which is a basic requirement to develop a reliable quantitative forecasting model?
   1. Obtain an adequate number of historical observations.
   2. Collect time-independent observations.
   3. Collect a time series that shows a trend.
   4. Obtain a time series without gaps and outliers.
4. Which of the following is not a group of methods typically used in quantitative Time Series Forecasting?
   1. Classical univariate methods.
   2. Machine learning techniques.
   3. Explanatory models.
   4. Direct clustering algorithms.