partial correlation

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Noun1.partial correlation - a correlation between two variables when the effects of one or more related variables are removed
statistics - a branch of applied mathematics concerned with the collection and interpretation of quantitative data and the use of probability theory to estimate population parameters
correlational statistics, correlation - a statistical relation between two or more variables such that systematic changes in the value of one variable are accompanied by systematic changes in the other
first-order correlation - a partial correlation in which the effects of only one variable are removed (held constant)
References in periodicals archive ?
These terms or numbers were determined through the autocorrelation function and the partial autocorrelation function.
A zero mean, single mean, and trend ADF along with autocorrelation, partial autocorrelation and cross correlation diagnostics can be used.
k), and sample partial autocorrelation function (PACF) of lag k, (r.
Error terms were assessed graphically for autocorrelation by analyzing autocorrelation function chart and the partial autocorrelation chart if warranted.
The autocorrelation and partial autocorrelation in the time series were assessed to identify possible density dependence in the population trend.
Therefore, I evaluated the autocorrelation function (ACF) and partial autocorrelation function (PACF) of the OLS regression residuals using SAS procedure PROC ARIMA (see SAS/ETS User's Guide, 1993).
autocorrelation function and partial autocorrelation function of residuals) and the pseudo-[R.
These properties can be characterized by the autocorrelation function (ACF) and partial autocorrelation function (PACF).
The traditional method consists in comparing the observed patterns of the sample autocorrelation and partial autocorrelation functions with the theoretical ACF and PACF patterns.
Table 3 (B) shows partial autocorrelation for current year dividend (dependent variable).
The univariate models were developed by examining the sample autocorrelation and partial autocorrelation functions for each time series.
A plot of the autocorrelation function (ACF) and partial autocorrelation function (PACF) for the first difference of HELPH (dHELPH) indicate a first-order autoregressive model.