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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hh pep_proto.hh

#ifndef pep_proto_hh #define pep_proto_hh // // Protocol packet formats for the Position Estimation Protocol (PEP). // #include "grid.hh" CLICK_DECLS static const int pep_proto_fixes = 5; // Max #
www.eeworm.com/read/455463/1614600

m gardnerexp.m

function gardnerexp(arg1,arg2,arg3,arg4,arg5) % gardnerexp(v,rho,z,tops,ztops) % % GARDNEREXP allows interactive estimation of the Gardner parameters % empirically linking density and instantaneous
www.eeworm.com/read/167185/5462056

c genburg.c

/* The generalized Burg technique Programmed by Daniel L. Wenger 408-425-5790 Santa Cruz, California See: "Estimation of Structured Covariance Matrices", J.P.Burg, D.G.Luenberger, D.L.Wenger; Procee
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c genburg.c

/* The generalized Burg technique Programmed by Daniel L. Wenger 408-425-5790 Santa Cruz, California See: "Estimation of Structured Covariance Matrices", J.P.Burg, D.G.Luenberger, D.L.Wenger; Procee
www.eeworm.com/read/344585/3208020

m transform_sample_est.m

function t_point = transform_sample_est(point, X, mappedX) %TRANSFORM_SAMPLE_EST Performs out-of-sample extension using estimation technique % % t_point = transform_sample_est(point, X, mappedX)
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m rx_demodulate.m

function [soft_bits_out] = rx_demodulate(rx_symbols, modulation) % We make 'soft' bit estimation for viterbi. if ~isempty(findstr(modulation, 'BPSK')) soft_bits = rx_bpsk_demod(rx_symbols
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hlp j_robustsingular.hlp

{smcl} {* 07apr2005}{...} {title:The F or chi2 model statistic has been reported as missing} {pstd} Your estimation results show a F or chi2 model statistic reported to be missing. Stata has d
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hlp y_postest.hlp

{smcl} {p 0 4} {help contents:Top} > {help y_stat:Statistics} > {help y_est:Estimation} > {help y_estover:Overview} {bind:> {bf:Postestimation commands}} {p_end} {hline} {title:Help and cat
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hlp y_postest_test.hlp

{smcl} {p 0 4} {help contents:Top} > {help y_stat:Statistics} > {help y_est:Estimation} > {help y_estover:Overview} > {help y_postest:Postestimation commands} {bind:> {bf:Tests and CIs of coeff
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hlp y_mecsts.hlp

{smcl} {p 0 4} {help contents:Top} > {help y_stat:Statistics} > {help y_est:Estimation} {bind:> {bf:Cross-sectional time series}} {p_end} {hline} Notation {bf:n} Number of pan