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Probability and Mathematical Statistics: Theory, Applications, and Practice in R
KZT 55069
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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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Информация о продукте
- This book develops the theory of probability and mathematical statistics with the goal of analyzing real-world data. Throughout the text, the R package is used to compute probabilities, check analytically computed answers, simulate probability distributions, illustrate answers with appropriate graphics, and help students develop intuition surrounding probability and statistics. Examples, demonstrations, and exercises in the R programming language serve to reinforce ideas and facilitate understanding and confidence. The book’s Chapter Highlights provide a summary of key concepts, while the examples utilizing R within the chapters are instructive and practical. Exercises that focus on real-world applications without sacrificing mathematical rigor are included, along with more than 200 figures that help clarify both concepts and applications. In addition, the book features two helpful appendices: annotated solutions to 700 exercises and a Review of Useful Math. Written for use in applied masters classes, Probability and Mathematical Statistics: Theory, Applications, and Practice in R is also suitable for advanced undergraduates and for 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.
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Non-Technical Users
May be too complex for users without a strong background in mathematics or programming, limiting accessibility.
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Very Advanced Statisticians
Experienced statisticians may find the content foundational and lacking advanced topics or cutting-edge methods.
ОПИСАНИЕ ТОВАРА
Вопросы и ответы клиентов
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вопрос:
What programming language is used in the book?
отвечать: The book utilizes R programming language. -
вопрос:
Who is the target audience?
отвечать: The book is written for use in applied masters classes, and is also suitable for advanced undergraduates and self-study by applied mathematicians, statisticians, and qualitatively inclined engineers and scientists. -
вопрос:
What are the appendices about?
отвечать: The appendices include annotated solutions to 700 exercises and a Review of Useful Math.
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KZT 55069
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Особенности и преимущества
- 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.