Lee, The power mean and the least squares mean of probability measures on the space of positive definite matrices, Linear algebra Appl. 465(2015), 325-346.S. Kim and H. Lee, The power mean and the least squares mean of probability measures on the space of positive definite matrices, ...
Define mean square. mean square synonyms, mean square pronunciation, mean square translation, English dictionary definition of mean square. n. The average of the squares of a set of numbers. American Heritage® Dictionary of the English Language, Fifth
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接着他做出假设:平均值处应该就是能够最好概括总结 $n$ 个观测值的地方 $(y_1,\dots,y_n)$ 所以,他假设最大化整个 $\Omega$ 应该就和最小化整个均方误差的和是一个性质 [x] 这里有一点点不太能理解,He thenassumedthat the mean should be the best value for summarizing $n$ measurements 作...
摘要: In the beginning, Gauss created Least Squares, and he saw that it was good. So he said unto his algorithm," be fruitful, and multiply." And it was so. Least Squares begat the Least Mean Squares (LMS), whose years were plenty. And Least Mean Squares begat...
The least-mean-square (LMS) algorithm is a useful and popular procedure for adaptive signal processing of both real-valued and complex-valued signals. Past analysis of the complex LMS algorithm has assumed that the input signal vector is circularly-distributed, such that the pseudo-covariance matri...
least-squares method [¦lēst ′skwerz ‚meth·əd] (statistics) A technique of fitting a curve close to some given points which minimizes the sum of the squares of the deviations of the given points from the curve. McGraw-Hill Dictionary of Scientific & Technical Terms, 6E, Copyright...
摘要: The parameter concept in the term least squares mean is defined and given the more meaningful name population marginal mean; and its estimation is discussed.关键词: Population marginal mean Estimable function Estimated marginal mean Least squares mean Unequal subclass numbers Empty cells ...
The combination of the famed kernel trick and the least-mean-square (LMS) algorithm provides an interesting sample-by-sample update for an adaptive filter in reproducing kernel Hilbert spaces (RKHS), which is named in this paper the KLMS. Unlike the accepted view in kernel methods, this paper...
and estimators (maximum likelihood [ML], robust maximum likelihood [MLR], and weighted least squares mean and variance-adjusted [WLSMV]) on the performanc... NA Koziol,JA Bovaird - 《Educational & Psychological Measurement》 被引量: 0发表: 2018年 Comparisons of Methods of Estimation for the Ha...