| 书目名称 | Visualization and Imputation of Missing Values | | 副标题 | With Applications in | | 编辑 | Matthias Templ | | 视频video | | | 概述 | Focuses on visualization and imputation methods for missing values and practical applications in R.Describes the advantages, disadvantages, and pitfalls of each imputation method.Presents modern robus | | 丛书名称 | Statistics and Computing | | 图书封面 |  | | 描述 | .This book explores visualization and imputation techniques for missing values and presents practical applications using the statistical software R. It explains the concepts of common imputation methods with a focus on visualization, description of data problems and practical solutions using R, including modern methods of robust imputation, imputation based on deep learning and imputation for complex data. By describing the advantages, disadvantages and pitfalls of each method, the book presents a clear picture of which imputation methods are applicable given a specific data set at hand..The material covered includes the pre-analysis of data, visualization of missing values in incomplete data, single and multiple imputation, deductive imputation and outlier replacement, model-based methods including methods based on robust estimates, non-linear methods such as tree-based and deep learning methods, imputation of compositional data, imputation quality evaluation from visual diagnostics to precision measures, coverage rates and prediction performance and a description of different model- and design-based simulation designs for the evaluation. The book also features a topic-focused int | | 出版日期 | Book 2023 | | 关键词 | missing data; imputation of missing data; visualization of missing values; R package; incomplete data; si | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-30073-8 | | isbn_softcover | 978-3-031-30075-2 | | isbn_ebook | 978-3-031-30073-8Series ISSN 1431-8784 Series E-ISSN 2197-1706 | | issn_series | 1431-8784 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Switzerl |
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发表于 2025-3-21 16:33:39
