SVResult._summary_table#

SVResult._summary_table()[source]#

Structured summary rendered by every display path.

Metadata carries the method, criterion, sample size, AIC/BIC and the half-life; the estimate table lists the mean when estimated, then mu, phi, sigma2, and nu/rho when present; the notes say what the criterion is under this method and warn about nu under QML.

Return type:

SummaryTable

Returns:

The SummaryTable.

Example

>>> import numpy as np
>>> rng = np.random.default_rng(0)
>>> table = SV(rng.standard_normal(200)).fit()._summary_table()
>>> table.title, [row[0] for row in table.rows], table.metadata[0]
('SV[constant, qml] Results', ['mean', 'mu', 'phi', 'sigma2'], ('Method', 'qml'))
>>> table.notes[0][:45]
'The likelihood is the quasi-likelihood of the'