Book(s) for Self-Studying Probability & Statistics

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SUMMARY

The discussion centers around recommended texts for self-studying probability and statistics, specifically highlighting W. Feller's "Introduction to Probability Theory and its Applications," both Volume 1 and Volume 2. These books are recognized for their comprehensive coverage of probability theory, making them suitable for self-learners. Participants in the discussion affirm the effectiveness of Feller's work in building a solid foundation in the subject.

PREREQUISITES
  • Basic understanding of mathematical concepts
  • Familiarity with statistical terminology
  • Ability to perform algebraic manipulations
  • Interest in theoretical applications of probability
NEXT STEPS
  • Explore additional resources such as "Probability and Statistics" by Morris H. DeGroot and Mark J. Schervish
  • Investigate online courses on platforms like Coursera or edX focusing on probability and statistics
  • Practice problems from "Introduction to Probability Theory and its Applications" to reinforce concepts
  • Learn about statistical software tools like R or Python for practical applications of probability theory
USEFUL FOR

Students, educators, and self-learners interested in mastering probability and statistics will benefit from this discussion, particularly those seeking structured and reputable resources for independent study.

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What are some good texts for self-studying probability & statistics?
 
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I studied (self-study) Probability from this book.
W Feller: Introduction to Probability Theory and its Applications, Volume 1. & volume 2.
 

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