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Nº de artículo:
43464224
Probability and Mathematical Statistics: Theory, Applications, and Practice in R
89% of respondents would recommend this to a friend
Nº de artículo:
43464224
UYU 6391
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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.
Detalles de producto
- 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?
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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.
DESCRIPCIÓN DEL PRODUCTO
Probability and Mathematical Statistics: Theory, Applications, and Practice in R
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Processes & Infrastructure Editorial Review
Probability and Mathematical Statistics: Theory, Applications, and Practice in R is a comprehensive resource published by SIAM, designed for both theory and practical applications in the field. With 707 pages of well-organized content, it allows readers to easily navigate through different topics without getting lost in complex explanations. The textbook, praised for its clarity and flow, serves as an effective reference for various concepts, which is particularly useful for students and practitioners alike. While some users noted a lack of numerous examples, many appreciated its straightforward approach, making complex topics accessible and user-friendly.
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ventajas
- Clear and concise explanations of complex topics
- Well-organized structure for easy navigation
- Useful as a reference for refreshing concepts
- Great resource for probability theory and statistics
- Acclaimed for its engaging flow from topic to topic
Contras
- Could benefit from more examples for practice
Product Price History
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UYU 6391
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características y beneficios
- 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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