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partial correlation coefficient

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partial correlation coefficient [′pär·shəl ‚kä·rə′lā·shən ‚kō·i‚fish·ənt]
(statistics)
A measure of the strength of association between a dependent variable and one independent variable when the effect of all other independent variables is removed; equal to the square root of the partial coefficient of determination.


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In addition, he improved its filter stability by introducing partial correlation coefficients using forward and backward prediction errors and developed the partial auto correlation (PARCOR) method in 1969.
In addition, he improved its filter stability by introducing partial correlation coefficients using forward and backward prediction errors and developed the partial auto correlation (PARCOR) method in 1969.
Results Using stepwise multiple binomial regression method, the "optimal" empirical mode of multiple binomial regression to chlorophyll a of spring algal bloom in Xiangxi Bay is obtained as follows: [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (5) Partial correlation coefficient, t test value and p-value of independent variables in Equation (5) are presented in Table 1.
 
 
 
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