代码搜索:usage

找到约 10,000 项符合「usage」的源代码

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www.eeworm.com/read/449504/7502576

m nclag.m

function xlag = nclag(x,lag1,n) % PURPOSE: Generates a matrix of lags from a matrix containing % a set of vectors, x %--------------------------------------------------- % USAGE: xlag = nclag
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m delif.m

function x=delif(y,cond) % PURPOSE: select values of x for which cond is false % ----------------------------------------------------- % USAGE: x = delif(y,cond) % where y = input vector %
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m tsprint.m

function tsprint(y,cstruc,varargin) % PURPOSE: print time-series matrix or vector with dates and column labels %--------------------------------------------------- % USAGE: tsprint(y,cstruc,begp,e
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m epanechnikov.m

function heights=epanechnikov(data,center,bw); % PURPOSE: % Epanechnikov kernel function % % USAGE: % heights=triangular(data,center,bw) % % INPUTS: % data: Data used for height
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m kolmogorov.m

function [statistic, pvalue, H]=kolmorgorov(x,size,dist,varargin) % PURPOSE: % Performs a Kolmogorov-Smirnov test that the data are from a specified distribution % % USAGE: % [statistic,
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m fattailed_garchlikelihood.m

function [LLF, h, likelihoods] = fattailed_garchlikelihood(parameters , data , p , q, errortype, stdEstimate, T) % PURPOSE: % Likelihood for fattailed garch estimation % % USAGE: % [LLF,
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m lndetmc.m

function out=lndetmc(order,iter,wsw,rmin,rmax) % PURPOSE: computes Barry and Pace MC approximation to log det(I-rho*W) % ----------------------------------------------------------------------- % USAGE
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m lndetint.m

function out=lndetint(wsw,rmin,rmax) % PURPOSE: computes Pace and Barry's spline approximation to log det(I-rho*W) % ----------------------------------------------------------------------- % USAGE: ou
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m lsgrad.m

function G = lsgrad(b,infoz,stat,varargin) % PURPOSE: Evaluate M(b)'Wm(b) Gradient of objective function % ------------------------------------------------------------- % USAGE: function G = lsgrad(b
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m sem_gmmd4.m

% PURPOSE: A Monte Carlo example of using sem_gmm % GM estimation of the spatial error model % in a Monte Carlo experiment %--------------------------------------------------- % USAGE: sem_gmmd4