I made the naive assumption that since I have the skills to perform the matrix algebra in a regression that my background was fine, and I am kicking my self in the foot for not learning it this summer.
It's often helpful to study worked out examples and to use WIkipedia, Wolfram, online course notes, etc. Most people forget details after they've taken a class and need to refer to online resources or textbooks to help them in their research apart from WIkipedia, 'standard' linear algebra references include the Matrix Cookbook or "Matrix Algebra from a Statistician's Perspective".
I would look up mathematics basic qualifying exams on advanced linear algebra that have solutions e. The more exposure you have to it, the easier it will be to do it yourself. I doubt you have time to read a separate book during your first year, but I recently purchased some Dover books to brush up on material before entering grad school next year hopefully? It's dense and definitely not a quick read, but as someone who has already seen Linear Algebra before, I think it was a good choice. It's possible that you might be able to dissect it and just read the areas where you need brushing up, but I'm not positive; the layout of the book is definitely different than the curriculum I was taught in undergrad.
For example, the first chapter is on determinants..
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For only a few dollars extra there is a solution manual which my professor recommended as it helps with some of the more complex problems. The author provides some good analogies, and while the book is inherently applied in nature, it does offer some good insight into the theoretical underpinnings.
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The book assumes a knowledge of linear algebra and multivariable calculus, but does provide some review when introducing new concepts. I personally really like it and find it quite helpful.
Publisher Series: Dover Books on Mathematics
It is also a quick read, which is nice. It just hadn't even occurred to me that would be useful. Error rating book. Refresh and try again. Open Preview See a Problem? Details if other :.
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Thanks for telling us about the problem. Return to Book Page. This comprehensive text covers both applied and theoretical branches of matrix algebra in the statistical sciences. It begins by dealing with the basic structure of vectors and vector spaces and then emphasizes the diverse properties of matrices and their associated linear transformations — and how these, in turn, depend upon results derived from linear vector spaces. Get A Copy.
Kindle Edition , pages. Published January 18th by Dover Publications first published December 27th More Details Original Title. Other Editions 5. Friend Reviews. To see what your friends thought of this book, please sign up. To ask other readers questions about Applied Matrix Algebra in the Statistical Sciences , please sign up. The lowest-priced brand-new, unused, unopened, undamaged item in its original packaging where packaging is applicable.
Applied Matrix Algebra in the Statistical Sciences
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