期刊全稱 | Advanced Linear Modeling | 期刊簡稱 | Statistical Learning | 影響因子2023 | Ronald Christensen | 視頻video | http://file.papertrans.cn/146/145829/145829.mp4 | 發(fā)行地址 | Presents a collection of methodologies formulated and developed in the framework of linear models.Offers accompanying R code online for the included analyses.Features several new chapters, as well as | 學(xué)科分類 | Springer Texts in Statistics | 圖書封面 |  | 影響因子 | Now in its third edition, this companion volume to Ronald Christensen’s. Plane?.Answers to Complex Questions. uses three fundamental concepts from standard linear model theory—best linear prediction, projections, and Mahalanobis distance— to extend?standard linear modeling into the realms of Statistical Learning and Dependent Data. ?.This new edition features a wealth of new and revised content.? In Statistical?Learning it delves into nonparametric regression, penalized estimation (regularization),?reproducing kernel Hilbert spaces, the kernel trick, and support vector machines.? For Dependent Data it uses linear model theory to examine general linear models,?linear mixed models, time series, spatial data, (generalized) multivariate linear?models, discrimination, and dimension reduction.? While numerous references to?.Plane Answers. are made throughout the volume, .Advanced Linear Modeling. can be used?on its own given a solid background in linear models.? Accompanying R code for the?analyses is available online.. | Pindex | Textbook 2019Latest edition |
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