An Improved Generalized-Trend-Diffusion-Based Data Imputation for Steel Industry

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An Improved Generalized-Trend-Diffusion-Based Data Imputation for Steel Industry

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im Januar 2013 veröffentlichter wissenschaftlicher Artikel

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wetenschappelijk artikel

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наукова стаття, опублікована у 2013

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An Improved Generalized-Trend-Diffusion-Based Data Imputation for Steel Industry

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An Improved Generalized-Trend-Diffusion-Based Data Imputation for Steel Industry

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An Improved Generalized-Trend-Diffusion-Based Data Imputation for Steel Industry

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An Improved Generalized-Trend-Diffusion-Based Data Imputation for Steel Industry

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An Improved Generalized-Trend-Diffusion-Based Data Imputation for Steel Industry

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An Improved Generalized-Trend-Diffusion-Based Data Imputation for Steel Industry

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P1476

An Improved Generalized-Trend-Diffusion-Based Data Imputation for Steel Industry

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P2093

Wei Wang

http://www.w3.org/2001/XMLSchema#string

Ying Liu

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Zheng Lv

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P2860

Multiple imputation for missing data.

Likelihood-based association analysis for nuclear families and unrelated subjects with missing genotype data.

Presence-only data and the em algorithm.

Evaluation of non-response bias in mental health determinants and outcomes in a large sample of pre-adolescents.

Bayesian modeling of missing data in clinical research

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1-10

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P31

scholarly article

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10.1155/2013/136241

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P478

2013

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2013-01-01T00:00:00Z

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