书目名称 | Local Regression and Likelihood |
编辑 | Clive Loader |
视频video | http://file.papertrans.cn/588/587704/587704.mp4 |
丛书名称 | Statistics and Computing |
图书封面 |  |
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 |
关键词 | 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 |