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by
Shirman, Aleksandra, author.
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Strategic Monte Carlo and Variational Methods in Statistical Data Assimilation for Nonlinear
by
Hill, Chelsey Helena, author.
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, proactive recalls and recall timing. Textual, statistical and analytical analysis methods are used to
by
King, J. Clay, author.
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Bayesian statistical methods reverse the philosophy of traditional statistical practice by treating
by
Oluwagbenga, Agboola David, author.
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approach uses logistic regression with zero intercept as the statistical model that fits this situation. In
by
Wang, Yiqing, author.
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establish identifiability and methods for statistical inference in this framework. This proposed model has
by
Cheng, Edward K., author.
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complex litigation involving multiple firms. It investigates optimization and statistical approaches that
by
Li, Xiaomao, author.
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The recent years witnessed a surge in the intellectual interest of statistical methods for
by
Addo, Evans Dapaa, author.
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all the widely accepted and standard statistical methods assume complete data for all variables
by
Ndiaye, Sokhna Mariama, author.
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The research presented in this thesis focuses on two alternative statistical methods for spatial
by
Agboola, Oluwagbenga David, author.
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approach uses logistic regression with zero intercept as the statistical model that fits this situation. In
by
Lu, Junwei, author.
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challenging problems on the uncertainty assessment and replicability analysis for statistical methods
by
Zhong, Yi, author.
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biological datasets and the statistical methods to analyze such data; (2) several statistical and machine

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