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Titlebook: Visualization and Imputation of Missing Values; With Applications in Matthias Templ Book 2023 The Editor(s) (if applicable) and The Author(

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發(fā)表于 2025-3-25 04:04:46 | 只看該作者
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發(fā)表于 2025-3-25 18:53:16 | 只看該作者
Simulation of Data for SimulationStudies,ing using a normal distribution or by using a simple regression model. The aim of this chapter is to provide a comprehensive overview of simulation studies and to focus on realistic and real-world simulation studies. This includes the complex data generation as well as the consideration of outliers that influence the imputation methods.
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發(fā)表于 2025-3-25 22:11:45 | 只看該作者
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發(fā)表于 2025-3-26 01:59:27 | 只看該作者
Deductive Imputation and Outlier Replacement,tic component when working with samples from a population..The second part of this chapter deals with the replacement of outliers. After identifying potential outliers, they can be replaced by more reasonable values. It is pointed out that often robust imputation methods are more suitable than outlier replacement.
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發(fā)表于 2025-3-26 04:21:56 | 只看該作者
Imputation Without a Formal Statistical Model,ferred choice. Moreover, they are often used because of their simplicity and good general performance. In this chapter, hot-deck methods, .-nearest neighbor methods, and methods that rely on covariance estimates, such as principal component imputation, are presented.
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1431-8784 gnostics 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 int978-3-031-30075-2978-3-031-30073-8Series ISSN 1431-8784 Series E-ISSN 2197-1706
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