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Equation (6) calculates the degree of similarity of both in time and amplitude as defined by the Eular distance way (α 1 and α 2 are the proportionality coefficient of time and amplitude features).
The k-order autocorrelation coefficient of time series {x1, x2, …} is defined as r k = ∑ t = k + 1 T x t - x ¯ x t - k - x ¯ ∑ t = 1 T x t - x ¯ 2 (7).
The k-order partial autocorrelation coefficient of time series {x1, x2, …} is defined as follows: ϕ k = r 1 k = 1 r k - ∑ j = 1 k - 1 ϕ j r k - j 1 - ∑ j = 1 k - 1 ϕ j r k - j k > 1 (8).
A significant positive coefficient of time would suggest that cell counts increased post-ART, while a zero or negative coefficient would suggest the opposite.
The Gini coefficient of "Time" was 0.334.
Finally, TC was calculated as the reciprocal of the coefficient of time.
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Time-dependent clearance decreased with time as CLt = CLT exp(− kdes TIME), where CLT is the initial value of time-dependent clearance and kdes is the decay coefficient of time-dependent clearance.
The TDV approach finds the amount of quality-adjusted price changes from the estimated coefficients of time dummies.
The direct differentiation and improved least squares shadowing methods are both developed for accurately and efficiently calculating the sensitivity coefficients of time averaged quantities for chaotic dynamical systems.
Six statistical indices (mean absolute error, root mean square error, correlation coefficient, error of time to peak discharge, error of peak discharge, and coefficient of efficiency) are employed to assess prediction performance.
Time-delay estimation process is developed in the transform domain where discrete cosine transform (DCT) coefficients of time-varying delay signals are estimated.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com