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Bayesian Analysis of Synthetic Data under Multiple Linear Regression, Multivariate Normal and Multivariate Regression Models

机译：多元线性回归下的综合性数据分析，多变量正常和多变量回归模型分析

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作者
Guin, Abhishek.;
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作者单位

University of Maryland Baltimore County.;

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授予单位 University of Maryland Baltimore County.;
学科
学位 Ph.D.
年度 2021
页码 153 p.
总页数 153
原文格式 PDF
正文语种 eng
中图分类
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入库时间 2022-08-17 12:04:03

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2. Inference for Singly Imputed Synthetic Data Based on Posterior Predictive Sampling under Multivariate Normal and Multiple Linear Regression Models [J] . Martin Klein, Bimal Sinha The Indian Journal of Statistics . 2015,第pta2期

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3. High-Throughput Quantitative Biochemical Characterization of Algal Biomass by NIR Spectroscopy; Multiple Linear Regression and Multivariate Linear Regression Analysis [J] . L. M. L. Laurens, E. J. Wolfrum Journal of Agricultural and Food Chemistry . 2013,第50期

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7. Likelihood Based Finite Sample Inference for Singly Imputed Synthetic Data Under the Multivariate Normal and Multiple Linear Regression Models [O] . Klein, Martin, Sinha, Bimal 2016

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Bayesian Analysis of Synthetic Data under Multiple Linear Regression, Multivariate Normal and Multivariate Regression Models

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