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Item #:
43464224
Probability and Mathematical Statistics: Theory, Applications, and Practice in R
Item #:
43464224
€ 130
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This book develops the theory of probability and mathematical statistics with the goal of analyzing real-world data.
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What Stands Out
Comprehensive Coverage
Offers in-depth exploration of probability and statistical theory, alongside practical applications, making complex concepts accessible to students and professionals alike.
R Integration
Utilizes R for hands-on experience, allowing users to apply theoretical knowledge directly in a programming environment, enhancing learning and retention.
Problem Solving Focus
Emphasizes real-world problem-solving techniques, equipping readers with the skills to tackle statistical challenges in various fields, from academia to industry.
Product Details
- Develops the theory of probability and mathematical statistics for analyzing real-world data
- Utilizes the R package for computations, simulations of probability distributions, and illustrative graphics
- Reinforces concepts and facilitates understanding with R programming language examples, demonstrations, and exercises
- Includes exercises focusing on real-world applications without sacrificing mathematical rigor
- Provides over 200 figures to clarify concepts and applications
- Suitable for applied masters classes, advanced undergraduates, self-study by applied mathematicians and statisticians, and qualitatively inclined engineers and scientists
| 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) |
Who Should Buy?
-
Students of Statistics
Ideal for undergraduate and graduate students seeking to understand probability and statistics with practical applications in R.
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Data Scientists
Useful for data scientists needing a solid foundation in statistical theory combined with practical tools for R programming.
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Researchers
Beneficial for researchers looking to apply statistical methods and analyses in their work using R software effectively.
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Casual Learners
Not suitable for casual learners seeking quick and simple introductions to probability or statistics without depth.
Product Description
Probability and Mathematical Statistics: Theory, Applications, and Practice in R
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€ 130
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Features & Benefits
- R package is used to compute probabilities.
- Exercises focus on real-world applications.
- Over 200 figures clarify concepts and applications.
- Annotated solutions to 700 exercises.
- Suitable for advanced undergraduates and self-study.
- Written for use in applied masters classes.
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