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The processing stages underlying post-decision wagering can be logically decomposed using signal detection theory (SDT).
The MWS Matrix is then decomposed using eigenvalue decomposition.
Choices are decomposed using discrete multivariate statistical models.
The synthesized frame Newspaper is decomposed using morphological minLiftQ wavelet.
All the signals were decomposed using the ATFT algorithm.
Main effects were decomposed using Bonferroni comparisons.
The data were decomposed using Singular Value Decomposition (SVD), and composed again only from the leading 50 vectors.
Socioeconomic inequalities were estimated and decomposed using the Blinder-Oaxaca decomposition analysis.
The Karl Storz matrix was decomposed using Lu and Chipman's technique, shown in Fig. 5.
All were correctly identified using sequence data.
Their use must be correctly timed.
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