Constructor for ARMAEstimateMissing.

Determines whether the specified Object is equal to the current Object.

Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection.

Returns an int array of all time points, including values for times with missing values in z.

Returns a double precision vector of length tpoints[tpoints.Length-1]-tpoints[0]+1 containing the observed values in the time series z plus estimates for missing values in gaps identified in tpoints.

Serves as a hash function for a particular type.

Returns the times at which missing values were estimated.

Gets the Type of the current instance.

Creates a shallow copy of the current Object.

Returns a String that represents the current Object.

The covergence tolerance used by the AR_1 and AR_p missing value estimation methods.

The method used for estimating the final autoregressive coefficients for missing value estimation methods AR_1 and AR_p.

The maximum number of estimation iterations for missing value estimation methods AR_1 and AR_p.

The maximum number of autoregressive lags when method AR_p is selected as the missing value estimation method.

The mean value used to center the series.

The current missing value estimation method.

The number of missing values in the original series

The relative error used for the MethodOfMoments and LeastSquares estimation methods.