| 书目名称 | Smoothing Techniques | | 副标题 | With Implementation | | 编辑 | Wolfgang Härdle | | 视频video | | | 丛书名称 | Springer Series in Statistics | | 图书封面 |  | | 描述 | The author has attempted to present a book that provides a non-technical introduction into the area of non-parametric density and regression function estimation. The application of these methods is discussed in terms of the S computing environment. Smoothing in high dimensions faces the problem of data sparseness. A principal feature of smoothing, the averaging of data points in a prescribed neighborhood, is not really practicable in dimensions greater than three if we have just one hundred data points. Additive models provide a way out of this dilemma; but, for their interactiveness and recursiveness, they require highly effective algorithms. For this purpose, the method of WARPing (Weighted Averaging using Rounded Points) is described in great detail. | | 出版日期 | Book 1991 | | 关键词 | Area; Bootstrapping; Counting; Lemma; algorithms; approximation; average; estimator; function; implementation | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4612-4432-5 | | isbn_softcover | 978-1-4612-8768-1 | | isbn_ebook | 978-1-4612-4432-5Series ISSN 0172-7397 Series E-ISSN 2197-568X | | issn_series | 0172-7397 | | copyright | Springer-Verlag New York Inc. 1991 |
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发表于 2025-3-21 19:24:15
