代码搜索：deviation
找到约 1,443 项符合「deviation」的源代码
代码结果 1,443
www.eeworm.com/read/338643/12290486
m genrn.m
% genrn.m
% Scope: This MATLAB macro generates random numbers with normal
% (Gaussian) distribution, with mean and standard deviation
% specified
www.eeworm.com/read/149739/12352727
m gendatl.m
%GENDATL Generation of Lithuanian classes
%
% A = GENDATL(N,S)
%
% INPUT
% N Number of objects per class (optional; default: [50 50])
% S Standard deviation for the data generation (optional; d
www.eeworm.com/read/337307/12377158
m std.m
function y = std(x,flag,dim)
%列状数据标准差
%例如
% A=[11 4 0.2;22 3 0.5;0 3 0.4];
% std(A)
%
%STD Standard deviation.
% For vectors, STD(X) returns the standard deviation. For matrices,
%
www.eeworm.com/read/128477/14294666
m stats_1.m
% Script file: stats_1.m
%
% Purpose:
% To calculate mean and the standard deviation of
% an input data set containing an arbitrary number
% of input values.
%
% Record of revisi
www.eeworm.com/read/128477/14294669
m stats_2.m
% Script file: stats_2.m
%
% Purpose:
% To calculate mean and the standard deviation of
% an input data set containing an arbitrary number
% of input values.
%
% Record of revisi
www.eeworm.com/read/128477/14294676
m stats_3.m
% Script file: stats_3.m
%
% Purpose:
% To calculate mean and the standard deviation of
% an input data set, where each input value can be
% positive, negative, or zero.
%
% Reco
www.eeworm.com/read/223154/14652273
m mad.m
function R = mad(i,DIM)
% MAD estimates the Mean Absolute deviation
% (note that according to [1,2] this is the mean deviation;
% not the mean absolute deviation)
%
% y = mad(x,DIM)
% calcula
www.eeworm.com/read/223154/14652308
m zscoremedian.m
function Z = zScoreMedian(X, DIM)
% zScoreMedian removes the median and standardizes by the median absolute deviation
%
% Usage: Z = zScoreMedian(X, DIM)
% Input: X : data
% DIM: dimen
www.eeworm.com/read/223154/14652319
m meandev.m
function R = meandev(i,DIM)
% MEANDEV estimates the Mean deviation
% (note that according to [1,2] this is the mean deviation;
% not the mean absolute deviation)
%
% y = meandev(x,DIM)
% calc
www.eeworm.com/read/221410/14741793
m aaexponentialpdf.m
function[x,m,sd]=aaexponentialpdf(b,N)
%function[x,m,sd]=aaexponentialpdf(b,N)
for i=1:N
x(i)=-b*log(rand);%log is MATLAB function that gives
end; %the natural algorithm;
m