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=De Leon, Alexander R._ Carrière Chough, Keumhee eds. - Analysis of mixed data _ methods & applications
CH 01 Analysis of mixed data- An overview.pdf
CH 01 Analysis of mixed data- An overview.pptx
CH 02 Combining univariate and multivariate random forests for enhancing predictions of mixed outcomes.pdf
CH 02 Combining univariate and multivariate random forests for enhancing predictions of mixed outcomes.pptx
CH 03 Joint tests for mixed traits in genetic association studies.pdf
CH 03 Joint tests for mixed traits in genetic association studies.pptx
CH 04 Bias in factor score regression and a simple solution.pdf
CH 04 Bias in factor score regression and a simple solution.pptx
CH 05 Joint modeling of mixed count and continuous longitudinal data.pdf
CH 06 Factorization and latent variable models for joint analysis of binary and continuous .pdf
CH 07 Regression models for analyzing clustered binary and continuous outcomes.pdf
CH 08 Random effects models for joint analysis of repeatedly measured discrete.pdf
CH 09 Hierarchical modeling of endpoints of different types with generalized linear mixed .pdf
CH 10 Joint analysis of mixed discrete and continuous outcomes via copula models.pdf
CH 11 Analysis of mixed outcomes in econometrics- Applications in health economics.pdf
CH 12 Sparse Bayesian modeling of mixed econometric data using data augmentation.pdf
CH 12 Sparse Bayesian modeling of mixed econometric data using data augmentation.pptx
CH 13 Bayesian methods for the analysis of mixed categorical and continuous .pdf
CH 13 Bayesian methods for the analysis of mixed categorical and continuous .pptx
Analysis of mixed data.rar
(47.87 MB, 需要: RMB 29 元)
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