| MA | R Documentation | 
Sets up the necessary backend for the MA(Q) process.
MA(theta = NULL, sigma2 = 1)
| theta | A  | 
| sigma2 | A  | 
An S3 object with called ts.model with the following structure:
Used in summary: "MA-1","MA-2", ..., "MA-Q", "SIGMA2"
\theta_1, \theta_2, ..., \theta_q, \sigma^2
Number of parameters
"MA"
String containing simplified model
Depth of parameters e.g. list(q,1)
Guess starting values? TRUE or FALSE (e.g. specified value)
We consider the following model:
X_t = \sum_{j = 1}^q \theta_j \varepsilon_{t-1} + \varepsilon_t
, where \varepsilon_t is iid from a zero 
mean normal distribution with variance \sigma^2.
James Balamuta
MA(1) # One theta
MA(2) # Two thetas!
MA(theta=.32, sigma=1.3) # 1 theta with a specific value.
MA(theta=c(.3,.5), sigma=.3) # 2 thetas with specific values.
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