代码搜索:deviation

找到约 1,443 项符合「deviation」的源代码

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psfconvert

#@(#)Psfconvert 1.3 24 Mar 1997 ERL int new_sample_freq ?= 0:"New sampling frequency, 0 for default or input sampling rate"; float deviation ?= 0:"Maximum tolerable frequency deviation from new_samp_r
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java statisticalcategorydataset.java

/* =========================================================== * JFreeChart : a free chart library for the Java(tm) platform * =========================================================== * * (
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java statisticalcategorydataset.java

/* =========================================================== * JFreeChart : a free chart library for the Java(tm) platform * =========================================================== * * (
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txt d13r1.txt

Private Sub Command1_Click() 'PROGRAM D13R1 'Driver for routine MOMENT PI = 3.14159265 NPTS = 10000 NBIN = 100 NDAT = NPTS + NBIN Dim DATA(100100) I = 1 Fo
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m step2.m

% step2.m %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % All important data in (cell) array s. % The first row are s(1,:)centers,then s(2,:)samples,s(3,:)in-class distance!! % sample classification based on mi
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asv step2.asv

% step2.m %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % All important data in (cell) array s. % The first row are s(1,:)centers,then s(2,:)samples,s(3,:)in-class distance!! % sample classification based on mi
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m step2.m

% step2.m %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % All important data in (cell) array s. % The first row are s(1,:)centers,then s(2,:)samples,s(3,:)in-class distance!! % sample classification based on mi
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cpp stddev.cpp

#include #include "stddev.h" /** Calculate the arithmetic mean (a.k.a. average) */ double stddev::calc_mean_( const double *v, const size_t N ) { double mean = 0.0; do
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cpp stddev.cpp

#include #include "stddev.h" /** Calculate the arithmetic mean (a.k.a. average) */ double stddev::calc_mean_( const double *v, const size_t N ) { double mean = 0.0; do
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m sampletdistrib.m

function [tsamps tVars] = sampleTDistrib(M,dof); %% the way the redbook says to do it on p.581 %% standard deviation and mean of the T-distrib %tstd=1; mu=0; %% z=randn(M,1); tVars=chi2rnd(dof,M,1