ARFIMAResult._summary_table#

ARFIMAResult._summary_table()[source]#

Structured summary rendered by every display path.

Metadata carries the label, d, the truncation, sample size, and the likelihood with its criteria; the coefficient table is params in order; the notes give the stationarity verdict with its two conditions, mean reversion and long memory, and the range the estimator confines d to.

Return type:

SummaryTable

Returns:

The SummaryTable.

Example

>>> import numpy as np
>>> rng = np.random.default_rng(0)
>>> table = ARFIMA(rng.standard_normal(300), order=(0, 0)).fit()._summary_table()
>>> table.title, table.metadata[2][0], table.notes[0][:18]
('ARFIMA(0, d, 0) Results', 'd', 'Stationary: True  ')