《线性回归分析》封面

线性回归分析

Linear regression analysis

G. A. F. Seber · 初版 1977 年

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Hacker News 上怎么说

  • ……评论:你几乎绝不会想要去求 X'X 矩阵的逆。(它是 k 乘 k 的,其中 k 是回归变量的数量。)QR 分解要可靠得多。(给需要文献引用的人:Seber 和 Lee 的《线性回归分析》(Linear regression analysis)棒极了。)

    …comments: you almost never want to invert the X'X matrix. (Which is k by k, where k is the number of regressors.) The QR decomposition is much more reliable. (for those that want a citation: Seber and Lee's Linear regression analysis is great.)

  • 我最近读了 Seber 和 Lee 的《线性回归分析》(Linear Regression Analysis),强烈推荐。https://www.amazon.com/Linear-Regression-Analysis-George-Seb...

    I recently read Seber and Lee, Linear Regression Analysis, and highly recommend it. https://www.amazon.com/Linear-Regression-Analysis-George-Seb...

  • 虽然这看起来非常像 AI 垃圾内容(AI slop),但它确实让我想起了一本很棒的小书(里面的公式要多得多):《线性回归分析及相关矩阵理论实用公式——纯公式但我们喜欢》(Formulas Useful for Linear Regression Analysis and Related Matrix Theory - It's Only Formulas But We Like Them)[0]。那本书基本上就跟书名写的一模一样,不过鉴于其覆盖内容相当全面,拿来做参考书挺管用的。虽然,在……

    While this very much looks like AI slop, it does remind me of a wonderful little book (which has many more equations): Formulas Useful for Linear Regression Analysis and Related Matrix Theory - It's Only Formulas But We Like Them [0] That book is pretty much what it says on the cover, but can be useful as a reference given it's pretty thorough coverage. Though, in…

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