Applied Looking for a book on Multivariate Statistics

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SUMMARY

The discussion centers on finding a suitable book for a course in Multivariate Statistics, specifically tailored for a Material Science program. Key topics in the course include regression, clustering, classification, inference, Bayes Theorem, Gaussian Processes, and neural networks. Participants suggest exploring the Physics Forums thread on free math books for relevant resources. The emphasis is on acquiring foundational knowledge to understand statistical concepts applied to materials science.

PREREQUISITES
  • Basic understanding of statistics
  • Familiarity with regression analysis
  • Knowledge of clustering and classification techniques
  • Introduction to Bayes Theorem and Gaussian Processes
NEXT STEPS
  • Research recommended textbooks on Multivariate Statistics
  • Explore online resources for regression and clustering techniques
  • Study applications of Bayes Theorem in materials science
  • Learn about the implementation of neural networks in statistical analysis
USEFUL FOR

Students in Material Science programs, educators teaching statistics, and researchers applying statistical methods to materials datasets.

Enigman
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Hey all,

Joined a Material Science program and I have a course on Multivariate Stats. I have pretty minimal background on the topic so I thought I would pop back here asking for recommendations for a good start on the topic.

Here's the course description -
This course introduces students to statistical ideas that are important in learning about materials and their properties. Topics to be covered include: regression, clustering, classification, and inference; Bayes Theorem; Gaussian Processes and neural networks. Exercises and examples will be drawn from chemical, physics, and materials datasets.
 
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