| 书目名称 | Linear Models in Matrix Form | | 副标题 | A Hands-On Approach | | 编辑 | Jonathon D. Brown | | 视频video | | | 概述 | Comprehensively covers use of linear models in matrix form.Utilizes R and open source spreadsheets as standard tools for algebraic calculations.Many examples and full-color screenshots data files to h | | 图书封面 |  | | 描述 | .This textbook is an approachable introduction to statistical analysis using matrix algebra. Prior knowledge of matrix algebra is not necessary. Advanced topics are easy to follow through analyses that were performed on an open-source spreadsheet using a few built-in functions. These topics include ordinary linear regression, as well as maximum likelihood estimation, matrix decompositions, nonparametric smoothers and penalized cubic splines. Each data set .(1). contains a limited number of observations to encourage readers to do the calculations themselves, and .(2). tells a coherent story based on statistical significance and confidence intervals. In this way, students will learn how the numbers were generated and how they can be used to make cogent arguments about everyday matters. This textbook is designed for use in upper level undergraduate courses or first year graduate courses..The first chapter introduces students to linear equations, then covers matrix algebra, focusing on three essential operations: sum of squares, the determinant, and the inverse. These operations are explained in everyday language, and their calculations are demonstrated using concrete examples. The rem | | 出版日期 | Textbook 2014 | | 关键词 | Computational Statistics; Linear Equations; Linear Model; Linear Model in Matrix Form; Matrix Algebra; Po | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-11734-8 | | isbn_softcover | 978-3-319-34569-7 | | isbn_ebook | 978-3-319-11734-8 | | copyright | Springer International Publishing Switzerland 2014 |
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发表于 2025-3-21 17:16:51
