Owning Palette: Statistical Analysis VIs
Installed With: Advanced Signal Processing Toolkit
Estimates the randomness of an input univariate time series and plots the correlogram. Wire data to the Xt input to determine the polymorphic instance to use or manually select the instance.
Use the pull-down menu to select an instance of this VI.
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Xt specifies the input univariate time series. | ||||||
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confidence level specifies the level of confidence as a percentage this VI uses to estimate the randomness of the time series. | ||||||
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error in describes error conditions that occur before this VI or function runs.
The default is no error. If an error occurred before this VI or function runs, the VI or function passes the error in value to error out. This VI or function runs normally only if no error occurred before this VI or function runs. If an error occurs while this VI or function runs, it runs normally and sets its own error status in error out. Use the Simple Error Handler or General Error Handler VIs to display the description of the error code. Use error in and error out to check errors and to specify execution order by wiring error out from one node to error in of the next node.
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white noise returns TRUE if the input univariate time series is random. | ||||||
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correlogram returns the correlogram data including the autocorrelation of the input time series and the corresponding confidence range. | ||||||
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error out contains error information. If error in indicates that an error occurred before this VI or function ran, error out contains the same error information. Otherwise, it describes the error status that this VI or function produces.
Right-click the error out front panel indicator and select Explain Error from the shortcut menu for more information about the error.
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c.gif)
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Xt specifies the input univariate time series. | ||||||
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confidence level specifies the level of confidence as a percentage this VI uses to estimate the randomness of the time series. | ||||||
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error in describes error conditions that occur before this VI or function runs.
The default is no error. If an error occurred before this VI or function runs, the VI or function passes the error in value to error out. This VI or function runs normally only if no error occurred before this VI or function runs. If an error occurs while this VI or function runs, it runs normally and sets its own error status in error out. Use the Simple Error Handler or General Error Handler VIs to display the description of the error code. Use error in and error out to check errors and to specify execution order by wiring error out from one node to error in of the next node.
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white noise returns TRUE if the input univariate time series is random. | ||||||
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correlogram returns the correlogram data including the autocorrelation of the input time series and the corresponding confidence range. | ||||||
![]() |
error out contains error information. If error in indicates that an error occurred before this VI or function ran, error out contains the same error information. Otherwise, it describes the error status that this VI or function produces.
Right-click the error out front panel indicator and select Explain Error from the shortcut menu for more information about the error.
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This VI estimates the randomness of a univariate time series by testing the c distribution, which is implemented by calculating the statistical value e for a time series Xt with a mean of zero, as defined by the following equation:

where Rx(k) is the auto-correlation value of Xt, and N is the number of the input time series.
Given the confidence level a, if e<c2a/2(N–1), this statistical value passes the test of c2(N–1). You can consider this univariate time series as being a random sequence.
Ljung, L. 1999. System Identification Theory for the User. 2d ed. Prentice Hall.
Refer to the Series Statistical Analysis VI in the labview\examples\Time Series Analysis\TSAGettingStarted.llb for an example of using the TSA Whiteness Test VI.