書目名稱 | Local Regression and Likelihood | 編輯 | Clive Loader | 視頻video | http://file.papertrans.cn/588/587704/587704.mp4 | 叢書名稱 | Statistics and Computing | 圖書封面 |  | 描述 | Separation of signal from noise is the most fundamental problem in data analysis, and arises in many fields, for example, signal processing, econometrics, acturial science, and geostatistics. This book introduces the local regression method in univariate and multivariate settings, and extensions to local likelihood and density estimation. Basic theoretical results and diagnostic tools such as cross validation are introduced along the way. Examples illustrate the implementation of the methods using the LOCFIT software. | 出版日期 | Book 1999 | 關(guān)鍵詞 | Density Estimation; Fitting; Likelihood; Local Likelihood; Local Regression; Variance; best fit; data analy | 版次 | 1 | doi | https://doi.org/10.1007/b98858 | isbn_softcover | 978-1-4757-7258-6 | isbn_ebook | 978-0-387-22732-0Series ISSN 1431-8784 Series E-ISSN 2197-1706 | issn_series | 1431-8784 | copyright | Springer Science+Business Media New York 1999 |
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