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This book develops the theory of probability and mathematical statistics with the goal of analyzing real-world data.
| Publisher | SIAM - Society for Industrial and Applied Mathematics |
| Publication date | June 24, 2019 |
| Language | English |
| Print length | 707 pages |
| ISBN-10 | 1611975778 |
| ISBN-13 | 978-1611975772 |
| Item Weight | 3.6 pounds (1.63 kg) |
| Dimensions | 1.89 x 7.28 x 10.35 inches (4.8 x 18.5 x 26.3 cm) |
Ideal for undergraduate and graduate students seeking to understand probability and statistics with practical applications in R.
Useful for data scientists needing a solid foundation in statistical theory combined with practical tools for R programming.
Beneficial for researchers looking to apply statistical methods and analyses in their work using R software effectively.
Not suitable for casual learners seeking quick and simple introductions to probability or statistics without depth.
Probability and Mathematical Statistics: Theory, Applications, and Practice in R
The editorial review of "Probability and Mathematical Statistics: Theory, Applications, and Practice in R" highlights the overall positive customer experience and reception of the textbook. Readers appreciate the clear and coherent organization of the material, making it accessible even for those who may find mathematical texts overly technical. Many students have found the book to be an invaluable resource, seamlessly supporting their learning during coursework, specifically in probability and mathematical statistics. Despite some critique about a lack of numerous examples, customers value the book’s approach, which allows them to quickly reference and understand specific concepts without getting bogged down in extensive proofs. The book's ability to serve as a reliable reference after completing formal studies speaks to its practical utility. Overall, this textbook seems to resonate well with its audience, providing a refreshing take on complex subjects. **
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