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Semiparametric

  • eBook Nonparametric and Semiparametric Models

    eBook Nonparametric and Semiparametric Models

    标签: Semiparametric Nonparametric Models eBook

    上传时间: 2014-01-05

    上传用户:yy541071797

  • sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a G

    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

    标签: Semiparametric estimation parameters estimates

    上传时间: 2016-04-15

    上传用户:talenthn

  • sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a G

    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

    标签: Semiparametric estimation parameters estimates

    上传时间: 2016-04-15

    上传用户:qilin

  • sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a G

    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

    标签: Semiparametric estimation parameters estimates

    上传时间: 2014-12-08

    上传用户:一诺88