Consider the time series model
Where
(i) Is this a stationary time series?
(ii) What are the mean and variance of the time series?
(iii) Calculate the autocorrelation function.
(iv) Plot the correlogram.
Let's analyze the given time series model step by step:
The given time series model is:
Where is a normally distributed random variable with mean
and variance
.
(i) To determine if this time series is stationary, we need to check if its properties (mean, variance, and autocorrelation) remain constant over time. Stationarity is a desirable property for time series analysis.
First, let's express the equation in terms of:
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