代码搜索:ESTIMATION

找到约 3,786 项符合「ESTIMATION」的源代码

代码结果 3,786
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m garcheviewscon.m

function [c, ceq]=garcheviewscon(parameters , data , p , q, m, stdEstimate); % PURPOSE: % GARCH(P,Q) parameter estimation constraints % % USAGE: % [c, ceq]=garcheviewscon(parameters , d
www.eeworm.com/read/447973/7542736

m kfmcrunformeasurement.m

%%% DynaEst 3.032 10/22/2000 % Copyright (c) 2000 Yaakov Bar-Shalom % % KalmanFilter, Kalman Filter Algorithm when from measurement % it's availabe only when SimulationFlag is 4 % Case 4 : No Ext
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m logit_d.m

% PURPOSE: An example of logit(), % prt_reg(). % maximum likelihood estimation % (data from Mendenhall et. al 1989) %---------------------------------------------------
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html mlcgmm.html

Contents.m
www.eeworm.com/read/299459/7849855

html mlsigmoid.html

Contents.m
www.eeworm.com/read/434207/7882902

m kernel.m

function smooth_d=kernel(t,x,h,fun) % Kernel Smoothing methods with different kernel functions. % Algorithm is from Funcitonal Data Analysis (2nd edition). % J.O.Ramsay and B.W.Silverman. Spri
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m garcheviewscon.m

function [c, ceq]=garcheviewscon(parameters , data , p , q, m, stdEstimate); % PURPOSE: % GARCH(P,Q) parameter estimation constraints % % USAGE: % [c, ceq]=garcheviewscon(parameters , d
www.eeworm.com/read/398337/7993531

m exlar.m

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Simple example of Multiple Kernel Estimation using the KBP % % % % Paper : % V. Guigue, A. Rakotomamonjy, S. Canu,
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m saving_calib_ascii.m

if ~exist('save_name'), save_name = 'Calib_Results'; end; fprintf(1,'Generating the matlab script file %s.m containing the intrinsic and extrinsic parameters...\n',save_name) fid = fopen
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m knn.m

clear all close all randn('state',0); rand('state',0); Dz = -2:.01:2; std = 0.5; pg=normpdf(Dz,0,std); for (N=100:10:1000) D=std*randn(N,1); for(K=1:5:N) cont=1;