<p>(<b>a</b>) The auto-covariance refers to the coupling between two subsequences from a same sequence when they are separated by unit. (<b>b</b>) The cross-covariance refers to the coupling between two subsequences from two different sequences as indicated by two open curly braces.</p
Sets of Frank sequences and Chu sequences are two classes of polyphase sequence with ideal periodic ...
The concepts of analysis of covariance are reviewed by emphasizing that it is just a combination of ...
Thesis (Ph.D.)--University of Washington, 2013We present results for testing and estimation in the c...
<p>a) Illustration of two directions with different variations. b) Two structures sampled on the two...
67 pages, 1 article*Covariance Analysis in a Two-Way Classification with Unequal Numbers in the Subc...
Generalized cross-covariances describe the linear relationships between spatial variables observed a...
<p>Analysis of covariance (ANCOVA) and different interaction between different groups and patient’s ...
The analysis of covariance (ANCOVA) is a statistical technique used to examine differences between ...
Detrended cross-correlation analysis provides a scaling exponent that should characterize the power-...
<p>Black: STDP rule. Red: spike train cross-covariances, from <a href="http://www.ploscompbiol.org/a...
In an econometrical production function analysis, It IS more desirable to use a data base consisting...
We hypothesize that students ’ engagement in tasks which require them to track two sources of inform...
A pair of Golay complementary sequences (G1, G2) and two almost perfect autocorrelation sequences (A...
ABSTRACT:- TThe paper introduces the concepts of covariance differences of a sequence and establishe...
A linear combination, with negative weights, of two continuous covariance functions has been analyze...
Sets of Frank sequences and Chu sequences are two classes of polyphase sequence with ideal periodic ...
The concepts of analysis of covariance are reviewed by emphasizing that it is just a combination of ...
Thesis (Ph.D.)--University of Washington, 2013We present results for testing and estimation in the c...
<p>a) Illustration of two directions with different variations. b) Two structures sampled on the two...
67 pages, 1 article*Covariance Analysis in a Two-Way Classification with Unequal Numbers in the Subc...
Generalized cross-covariances describe the linear relationships between spatial variables observed a...
<p>Analysis of covariance (ANCOVA) and different interaction between different groups and patient’s ...
The analysis of covariance (ANCOVA) is a statistical technique used to examine differences between ...
Detrended cross-correlation analysis provides a scaling exponent that should characterize the power-...
<p>Black: STDP rule. Red: spike train cross-covariances, from <a href="http://www.ploscompbiol.org/a...
In an econometrical production function analysis, It IS more desirable to use a data base consisting...
We hypothesize that students ’ engagement in tasks which require them to track two sources of inform...
A pair of Golay complementary sequences (G1, G2) and two almost perfect autocorrelation sequences (A...
ABSTRACT:- TThe paper introduces the concepts of covariance differences of a sequence and establishe...
A linear combination, with negative weights, of two continuous covariance functions has been analyze...
Sets of Frank sequences and Chu sequences are two classes of polyphase sequence with ideal periodic ...
The concepts of analysis of covariance are reviewed by emphasizing that it is just a combination of ...
Thesis (Ph.D.)--University of Washington, 2013We present results for testing and estimation in the c...
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