本代碼的方法是借助旋轉不變技術估計信號參數(Estimation of Signal Parameters via Rotational Invariance Techniques)，現已成為諧波恢復（即正弦波個數及頻率估計）的一種主要特征分解法。
標簽： Estimation Parameters Invariance Rotational
上傳時間： 2016-08-10
上傳用戶：
ESPRIT-Estimation of Signal Parameters V Rotational Invariance Techniques
標簽： ESPRIT-Estimation of Signal Parameters V Rotational Invariance Techniques
上傳時間： 2015-04-30
上傳用戶：小楚88
Implements Maximum likelihood estimation of beta and other parameters for model of stock portfolio vs. index using kalman filter
標簽： Implements likelihood estimation parameters
上傳時間： 2013-12-28
上傳用戶：zhangzhenyu
sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric imputation procedure for missing multivariate data. Version: 0.95 Date: 2007-03-09 Author: Peter Hoff Maintainer: Peter Hoff <hoff at stat.washington.edu> License: GPL Version 2 or later URL: http://www.stat.washington.edu/hoff CRAN checks: sbgcop results Downloads: Package source: sbgcop_0.95.tar.gz MacOS X binary: sbgcop_0.95.tgz Windows binary: sbgcop_0.95.zip Reference manual: sbgcop.pdf
標簽： Semiparametric estimation parameters estimates
上傳時間： 2016-04-15
上傳用戶：talenthn
sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric imputation procedure for missing multivariate data. Version: 0.95 Date: 2007-03-09 Author: Peter Hoff Maintainer: Peter Hoff <hoff at stat.washington.edu> License: GPL Version 2 or later URL: http://www.stat.washington.edu/hoff CRAN checks: sbgcop results Downloads: Windows binary: sbgcop_0.95.zip
標簽： Semiparametric estimation parameters estimates
上傳時間： 2016-04-15
上傳用戶：qilin
sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric imputation procedure for missing multivariate data. Version: 0.95 Date: 2007-03-09 Author: Peter Hoff Maintainer: Peter Hoff <hoff at stat.washington.edu> License: GPL Version 2 or later URL: http://www.stat.washington.edu/hoff CRAN checks: sbgcop results Downloads: Reference manual: sbgcop.pdf
標簽： Semiparametric estimation parameters estimates
上傳時間： 2014-12-08
上傳用戶：一諾88
contains a document about antenna array fundamentals, equation for estimation of array parameters, antenna polar plots. etc
標簽： array fundamentals estimation parameters
上傳時間： 2017-04-13
上傳用戶：hopy
~{JGR 8vQ IzWwR5SC5D2V?bD#DbO5M3~} ~{3v?b~} ~{Hk?b~} ~{2iQ/5H9&D\~} ~{?IRTWw@)3d~} ~{TZ~}JDK1.4.2~{OBM(9}~}
上傳時間： 2015-02-22
上傳用戶：ommshaggar
eda is an estimation of distributions algorithm
標簽： distributions estimation algorithm eda
上傳時間： 2013-12-27
上傳用戶：zsjinju
UMDA. a kind of estimation of distribution algorithm , which is the improvement of genetic algorithm
標簽： algorithm distribution improvement estimation
上傳時間： 2015-08-10
上傳用戶：hwl453472107
