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A unit root is a feature of processes that evolve through time that can cause problems in statistical inference involving time series models. A linear stochastic process has a unit root if 1 is a root of the process's characteristic equation. Such a process is non-stationary. If the other roots of the characteristic equation lie inside the unit circle—that is, have a modulus (absolute value) less than one—then the first difference of the process will be stationary. ==Definition== Consider a discrete-time stochastic process , and suppose that it can be written as an autoregressive process of order ''p'': : Here, is a serially uncorrelated, zero-mean stochastic process with constant variance . For convenience, assume . If is a root of the characteristic equation: : then the stochastic process has a unit root or, alternatively, is integrated of order one, denoted . If ''m'' = 1 is a root of multiplicity ''r'', then the stochastic process is integrated of order ''r'', denoted ''I''(''r''). 抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Unit root」の詳細全文を読む スポンサード リンク
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