作业帮matlab中var函数的翻译
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matlab中var函数的翻译
For N-D arrays, VAR operates along the first non-singleton dimension of X.
VAR normalizes Y by N-1 if N>1, where N is the sample size. This is an unbiased estimator of the variance of the population from which X is drawn, as long as X consists of independent,identically distributed samples. For N=1, Y is normalized by N.
Y = VAR(X,1) normalizes by N and produces the second moment of the sample about its mean. VAR(X,0) is the same as VAR(X).
Y = VAR(X,W) computes the variance using the weight vector W. The length of W must equal the length of the dimension over which VAR operates, and its elements must be nonnegative. VAR normalizes W to sum to one.
Y = VAR(X,W,DIM) takes the variance along the dimension DIM of X. Pass in 0 for W to use the default normalization by N-1, or 1 to use N.
哪位英语高手帮我翻译这段话~~这是从help中copy过来的,有一小部分已经翻译过了,也知道var函数是用来求方差的,但是上面这些有点看不懂了,帮忙翻译一下~~
For N-D arrays, VAR operates along the first non-singleton dimension of X.
VAR normalizes Y by N-1 if N>1, where N is the sample size. This is an unbiased estimator of the variance of the population from which X is drawn, as long as X consists of independent,identically distributed samples. For N=1, Y is normalized by N.
Y = VAR(X,1) normalizes by N and produces the second moment of the sample about its mean. VAR(X,0) is the same as VAR(X).
Y = VAR(X,W) computes the variance using the weight vector W. The length of W must equal the length of the dimension over which VAR operates, and its elements must be nonnegative. VAR normalizes W to sum to one.
Y = VAR(X,W,DIM) takes the variance along the dimension DIM of X. Pass in 0 for W to use the default normalization by N-1, or 1 to use N.
哪位英语高手帮我翻译这段话~~这是从help中copy过来的,有一小部分已经翻译过了,也知道var函数是用来求方差的,但是上面这些有点看不懂了,帮忙翻译一下~~
对于N-D数组, VAR沿第一个非一维X使用。
VAR由N-1正常化Y，如果N>1，其中N是样本大小。 这是人口的变化的一个无偏估计值由X得出，只要X包括独立同分布样本。 对于N=1， N.正常化Y。
Y = VAR (X， 1)通过由N正常化并且导致样品的二次矩。 VAR (X， 0)与VAR (X)是相同的。
Y = VAR(X， W)使用重量媒介W计算变化。 W的长度必须合计VAR经营维度的长度，并且它的元素一定非负。 VAR正常化归一至W。
Y = VAR (X， W，DIM)采取沿维度DIM通过X在0的到W的能由N-1使用缺省正常化或者1使用N。
VAR由N-1正常化Y，如果N>1，其中N是样本大小。 这是人口的变化的一个无偏估计值由X得出，只要X包括独立同分布样本。 对于N=1， N.正常化Y。
Y = VAR (X， 1)通过由N正常化并且导致样品的二次矩。 VAR (X， 0)与VAR (X)是相同的。
Y = VAR(X， W)使用重量媒介W计算变化。 W的长度必须合计VAR经营维度的长度，并且它的元素一定非负。 VAR正常化归一至W。
Y = VAR (X， W，DIM)采取沿维度DIM通过X在0的到W的能由N-1使用缺省正常化或者1使用N。