20 Moments of L__-functions in the world of number field counting 24:01 The eighth moment of the Riemann zeta function 17:55 Discrete Moments 23:47 Double square moments and bounds for resonance sums for cusp forms 19:30 Geodesic restrictions of Maass forms and moments of Hecke L-functions...
^Roger Powell,Janet Hergt, Jon Woodhead 2002. Improving isochron calculations with robust statistics and the bootstrap. Chemical Geology 185, 191–204. ^Linacre, J. M. (2002)."What do Infit and Outfit, Mean-square and Standardized mean?".Rasch Measurement Transactions.16(2): 878. 拓展阅读...
RegisterLog in Sign up with one click: Facebook Twitter Google Share on Facebook root mean square (redirected fromroot mean squares) Encyclopedia root mean square n.Statistics The square root of the average of the squares of a set of numbers. ...
是均方根值(Root Mean Square Value)的缩写。 spellmanhv.cn In physical meaning, the RMS (Root-Mean-Square) is offten called the effective value or DC-equivalent value of a current [...] token.com.tw 在物理意义上,RMS (Root-Mean-Square) 是常被称为有 效值,或 DC-等效值电流,是...
In statistics, the mean square error or MSE of an estimator is one of many ways to quantify the difference between an estimator and the true value of the quantity being estimated. MSE is a risk function, corresponding to the expected value of the squared error loss or quadratic loss. MSE ...
Defining Root Mean Square (RMS) In the realm of statistics, the Root Mean Square (RMS) is the square root of the average of the squares of a set of values. Also known as the quadratic mean, RMS is a specialized form of the generalized mean, with an exponent of 2. RMS can also be...
Statistics at square one. II--Mean from frequency distribution.http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=1640324doi:10.1136/bmj.1.6021.1325SwinscowT DBritish Medical JournalSwinscow, T. D. V. 1976 . II--Mean from frequency distribution. Br. Med. J. 1:1325-1326. ....
Mean squared error (MSE), the average squared difference between the value observed in a statistical study and the values predicted from a model. When comparing observations with predicted values, it is necessary to square the differences as some data va
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...
Statistics - Root Mean Square - Root Mean Square, RMS is defined as the square root of mean square where mean square is the arithmetic mean of the squares of numbers. RMS is also termed as the quadratic mean.