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Re: Covariance Matrix [message #86852 is a reply to message #86851]

Sat, 07 December 2013 09:38

Matthew Argall
Messages: 286
Registered: October 2011

Senior Member

Ahh. I see what you are after now. Try the auto-correlation function "a_correlate" with the /COVARIANCE set. You will have to define the "lag" parameter.

Typically, LAG=[1,2,3,4,5, ..., N], where N is your sample size.

http://www.exelisvis.com/docs/A_CORRELATE.html

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[Message index]

		Covariance Matrix By: amin farhang on Sat, 07 December 2013 04:11
		Re: Covariance Matrix By: David Fanning on Sat, 07 December 2013 05:31
		Re: Covariance Matrix By: amin farhang on Sat, 07 December 2013 06:37
		Re: Covariance Matrix By: Matthew Argall on Sat, 07 December 2013 07:28
		Re: Covariance Matrix By: amin farhang on Sat, 07 December 2013 09:25
		Re: Covariance Matrix By: Matthew Argall on Sat, 07 December 2013 09:38
		Re: Covariance Matrix By: Matthew Argall on Sat, 07 December 2013 09:46
		Re: Covariance Matrix By: amin farhang on Sun, 08 December 2013 11:57
		Re: Covariance Matrix By: haval.js on Tue, 04 March 2014 05:44
		Re: Covariance Matrix By: Matthew Argall on Tue, 04 March 2014 06:22
		Re: Covariance Matrix By: haval.js on Wed, 05 March 2014 02:37
		Re: Covariance Matrix By: haval.js on Wed, 05 March 2014 02:38
		Re: Covariance Matrix By: haval.js on Wed, 05 March 2014 02:43
		Re: Covariance Matrix By: Matthew Argall on Wed, 05 March 2014 05:14
		Re: Covariance Matrix By: haval.js on Mon, 10 March 2014 03:11
		Re: Covariance Matrix By: haval.js on Wed, 05 March 2014 02:39
		Re: Covariance Matrix By: andrei.makeev on Mon, 28 September 2015 11:26

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