代码搜索:Variance

找到约 2,271 项符合「Variance」的源代码

代码结果 2,271
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scala tcpoly_variance_enforce.scala

trait coll[m[+x]] trait coll2[m[-x]] trait coll3[m[x]] trait coll4[m[x
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svn-base variance.c.svn-base

/* * tslib/plugins/variance.c * * Copyright (C) 2001 Russell King. * * This file is placed under the LGPL. Please see the file * COPYING for more details. * * $Id: variance.c,v 1.6 2005/02/
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m ts_sample_variance.m

function svar = ts_sample_variance(X) % ts_sample_variance -- Compute the sample variance of a time-series data set (vector or array). % % Usage: % svar = sample_variance(X) % % Inputs: % X
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c p_variance_source.c

/* statistics/p_variance_source.c * * Copyright (C) 1996, 1997, 1998, 1999, 2000 Jim Davies, Brian Gough * * This program is free software; you can redistribute it and/or modify * it under the
www.eeworm.com/read/462044/7211661

asv courbe_moyenne_variance_doublement.asv

signal = doublement(0.15000); moyenne = zeros(491,1); taille = zeros(491,1); for k = 1:491 taille(k) = 100 + 10*(k-1); moyenne(k) = mean(signal(1:taille(k))); variance(k)= cov(sig
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m modwt_wavelet_sample_variance.m

function svar = modwt_wavelet_sample_variance(WJ, VJ0, X) % modwt_wavelet_sample_variance -- Compute sample variance from MODWT wavelet decomposition and orignal data series. % % Usage: % s2 = wavel
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m norm_0mean_1variance.m

function im = norm_0mean_1variance(imvec); % written by xiaoxun zhang. %normalize to zero mean and unit variance im = imvec - mean(imvec); im = im/norm(im);
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scala tcpoly_variance_enforce_getter_setter.scala

trait coll[+m[+x]] class FooInvar[x] class FooContra[-x] class FooCov[+x] object test { var ok: coll[FooCov] = _ var x: coll[FooInvar] = _ // TODO: error should be report
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m trimmedmse.m

function [cost,retained] = trimmedmse(R,beta,V); % Calculate trimmed mean of the squared value of the residuals. % % cost = trimmedmse(R); % % The factor where one trimms off the normed residuals is
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m trimmedmse.m

function [cost,retained] = trimmedmse(R,beta,V); % Calculate trimmed mean of the squared value of the residuals. % % cost = trimmedmse(R); % % The factor where one trimms off the normed residuals is