| 书目名称 | Regression Modeling Strategies |
| 副标题 | With Applications to |
| 编辑 | Frank E. Harrell |
| 视频video | |
| 概述 | Written by a well-known biostatistical researcher and expert on S-Plus.Provides full-scale case studies of non-trivial datasets.Case studies use S-PLUS.Includes supplementary material: |
| 丛书名称 | Springer Series in Statistics |
| 图书封面 |  |
| 描述 | Many texts are excellent sources of knowledge about individual statistical tools, but the art of data analysis is about choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasizes problem solving strategies that address the many issues arising when developing multivariable models using real data and not standard textbook examples. It includes imputation methods for dealing with missing data effectively, methods for dealing with nonlinear relationships and for making the estimation of transformations a formal part of the modeling process, methods for dealing with "too many variables to analyze and not enough observations," and powerful model validation techniques based on the bootstrap. This text realistically deals with model uncertainty and its effects on inference to achieve "safe data mining". |
| 出版日期 | Textbook 20011st edition |
| 关键词 | Analysis; Excel; Fitting; Resampling; Survival analysis; best fit; data analysis; data mining; modeling |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4757-3462-1 |
| isbn_softcover | 978-1-4419-2918-1 |
| isbn_ebook | 978-1-4757-3462-1Series ISSN 0172-7397 Series E-ISSN 2197-568X |
| issn_series | 0172-7397 |
| copyright | Springer-Verlag New York 2001 |
发表于 2025-3-21 18:09:15
