The variances, not the standard deviations, are additive and provide an estimate of the combined part variation. The result of adding the means and taking the root sum square of the standard deviations provides an estimate of the normal distribution of the tolerance stack. The formula to combine...
Root Mean Square Error(RMSE) is thestandard deviationof theresiduals(prediction errors). Residuals are a measure of how far from the regression line data points are; RMSE is a measure of how spread out these residuals are. In other words, it tells you how concentrated the data is around th...
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Root mean square A measure of the average power of a signal is very commonly required, but most calculations are carried out in terms of voltages and currents rather than powers. The square root of the mean square provides a measure of the average power with dimensions of voltage or current...
Thus if the root mean-square deviation of an atom from its lattice site is b, the intensities of the sharp reflections are decreased by the Debye-Waller factor exp{−2π2b2u2}. As a slight variation of our former procedure, we now find the diffuse, inelastic scattering as the differenc...
Exact constructions of square-root Helmholtz operator symbols: The focusing quadratic profile. J. Math. Phys. 41(7):4881-4938, 2000.L. Fishman, M. V. de Hoop, and M. J. N. van Stralen. Exact constructions of square-root Helmholtz operator symbols: The focusing quadratic profile. Journal...
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Answer to: Prove ln (1) - ln (1 / square root 2) = ln (1) + ln (square root 2). By signing up, you'll get thousands of step-by-step solutions to...
In this paper, methods of root-mean-square error calculation for large deployable mesh reflectors are reviewed. Concept of reflector gain, which describes reflector performance, and its relationship with the root-mean-square error is presented. Approaches to prediction or estimation of root-mean-...