For N-D arrays,VAR operates along the first non-singleton di

mobil653472022-10-04 11:39:541条回答

For N-D arrays,VAR operates along the first non-singleton dimension of X.如何翻译呢

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honlang216 共回答了14个问题 | 采纳率85.7%
对于n维数组,VAR沿着X的第一非单维度
1年前

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执行了什么,importjava.util.Arrays;publicclass Test {public static
执行了什么,
importjava.util.Arrays;
publicclass Test {
public static void main(String[] unused) {
String[] str = {"xxx","zzz","yyy","aaa"};
Arrays.sort(str);
intindex=Arrays.binarySearch(str,"zzz");
if(index==-1)
System.out.println("no");
else
System.out.println("yes");
}
}
A)no B) xxx C)0 D) yes
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importjava.util.Arrays; // 导入util.Arrays类
publicclass Test {
public static void main(String[] unused) {
String[] str = {"xxx","zzz","yyy","aaa"}; //定义字符串数组
Arrays.sort(str);//对字符串数组的内容进行排序
intindex=Arrays.binarySearch(str,"zzz");//使用二分法查找字符串数组str中是否包含“zzz”字符串
if(index==-1)// binarySearch函数如果查找失败即返回-1
System.out.println("no"); //打印no
else
System.out.println("yes");//如果找到,打印yes
}
}
List intList=new ArrayList(Arrays.asList(0,1,2,3,4,
List intList=new ArrayList(Arrays.asList(0,1,2,3,4,
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把0,1,2,3,4,5放进list里面
matlab中var函数的翻译For N-D arrays, VAR operates along the first
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~~
jerryppp1年前1
风的小翅膀 共回答了19个问题 | 采纳率100%
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。

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