英文: Results are expressed as mean±standard error.中文: 结果以平均值±标准均差表示。英文: Gives a calculation formula of the absolute error of specific frictional head losses.中文: 给出了湍流区沿程阻力系数绝对误差的计算式。
formula quartile formula correlation coefficient formula variance formula coefficient of determination formula margin of error formula relative frequency formula linear regression formula t test formula f test formula gaussian distribution formula chi square formula confidence interval formula sample size formula ...
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Mean-Square Relative Displacement mean-square velocity Mean-Square Weight Enumerating Function mean-square-error criterion Mean-Squared Amplitude-Estimation Error Mean-Squared Channel-Estimation Error Mean-Squared Weight Error Mean-Squared Weighted Inner Product ...
3.On the basis of mean inequality,a certain inequality formula is obtained,which is embodied in continuous positive function matrix.以平均值定理为基础,获得蕴含在正值连续函数矩阵中的一种不等式形式,从而拓宽和增强了平均值定理的应用范围和能力。 4)average[英]['?v?r?d?][美]['?v?r?d?]平均值...
Formula where at is the actual value of the quantity being forecast, ft is the forecast, and n is the number of different times for which the variable is forecast. Example Previous Page Next Page
Next, the harmonic mean of the sample sizes was computed using the formula N/(1/a1 + 1/a2 + 1/a3 + 1/a4 +…+ 1/aN) where a = the individual effect size and N = the sample size. This provides the most conservative N value for the analysis. The resultant matrix and harmonic ...
SEM = standard error of the means = sample standard deviation (see formula below)n = size (number of observations) of the sample The following is the sample standard deviation formula: Where:s = sample standard deviationx1, ..., xN = the sample data setx̄ = mean value of the ...
Mean Absolute Deviation (MAD) Calculator - Discover the concept of Mean Absolute Deviation with our free online calculator. Dive into detailed explanations and formulas.
standard deviationσ=∑i=1n(xi−xˉ)2n−1variance=σ2standard error(σxˉ)=σnwhere:xˉ=the sample’s meann=the sample sizestandard deviationσ=n−1∑i=1n(xi−xˉ)2variance=σ2standard error(σxˉ)=nσwhere:xˉ=the sample’s meann=the sample...