| 书目名称 | Regression |
| 副标题 | Linear Models in Sta |
| 编辑 | N. H. Bingham,John M. Fry |
| 视频video | |
| 概述 | A self-contained, mathematical introduction to the development and theory of linear models aimed primarily at undergraduate students of mathematics..The clear and concise exposition is supported by a |
| 丛书名称 | Springer Undergraduate Mathematics Series |
| 图书封面 |  |
| 描述 | .Regression is the branch of Statistics in which a dependent variable of interest is modelled as a linear combination of one or more predictor variables, together with a random error.The subject is inherently two- or higher- dimensional, thus an understanding of Statistics in one dimension is essential...Regression: Linear Models in Statistics. fills the gap between introductory statistical theory and more specialist sources of information. In doing so, it provides the reader with a number of worked examples, and exercises with full solutions...The book begins with simple linear regression (one predictor variable), and analysis of variance (ANOVA), and then further explores the area through inclusion of topics such as multiple linear regression (several predictor variables) and analysis of covariance (ANCOVA). The book concludes with special topics such as non-parametric regression and mixed models, time series, spatial processes and design of experiments...Aimed at 2nd and 3rd year undergraduates studying .Statistics, Regression: Linear Models in Statistics. requires a basic knowledge of (one-dimensional) Statistics, as well as Probability and standard Linear Algebra. Possible com |
| 出版日期 | Textbook 2010 |
| 关键词 | ANOVA; Generalized linear model; STATISTICA; Time series; analysis of covariance; analysis of variance; ge |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-84882-969-5 |
| isbn_softcover | 978-1-84882-968-8 |
| isbn_ebook | 978-1-84882-969-5Series ISSN 1615-2085 Series E-ISSN 2197-4144 |
| issn_series | 1615-2085 |
| copyright | Springer-Verlag London Limited 2010 |
发表于 2025-3-21 16:46:56
