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Titlebook: Basic Probability Theory with Applications; Mario Lefebvre Textbook 2009 Springer-Verlag New York 2009 Probability theory.Random variable.

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发表于 2025-3-21 17:06:11 | 显示全部楼层 |阅读模式
期刊全称Basic Probability Theory with Applications
影响因子2023Mario Lefebvre
视频video
发行地址Presents elementary probability theory with interesting and well-chosen applications that illustrate the theory.Main results in elementary probability, random variables, random vectors and the central
学科分类Springer Undergraduate Texts in Mathematics and Technology
图书封面Titlebook: Basic Probability Theory with Applications;  Mario Lefebvre Textbook 2009 Springer-Verlag New York 2009 Probability theory.Random variable.
影响因子The main intended audience for this book is undergraduate students in pure and applied sciences, especially those in engineering. Chapters 2 to 4 cover the probability theory they generally need in their training. Although the treatment of the subject is surely su?cient for non-mathematicians, I intentionally avoided getting too much into detail. For instance, topics such as mixed type random variables and the Dirac delta function are only brie?y mentioned. Courses on probability theory are often considered di?cult. However, after having taught this subject for many years, I have come to the conclusion that one of the biggest problems that the students face when they try to learn probability theory, particularly nowadays, is their de?ciencies in basic di?erential and integral calculus. Integration by parts, for example, is often already forgotten by the students when they take a course on probability. For this reason, I have decided to write a chapter reviewing the basic elements of di?erential calculus. Even though this chapter might not be covered in class, the students can refer to it when needed. In this chapter, an e?ort was made to give the readers a good idea of the use in p
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Basic Probability Theory with Applications978-0-387-74995-2Series ISSN 1867-5506 Series E-ISSN 1867-5514
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https://doi.org/10.1007/978-0-387-74995-2Probability theory; Random variable; central limit theory; queuing models; random variables; random vecto
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1867-5506 ents of di?erential calculus. Even though this chapter might not be covered in class, the students can refer to it when needed. In this chapter, an e?ort was made to give the readers a good idea of the use in p978-1-4614-2923-4978-0-387-74995-2Series ISSN 1867-5506 Series E-ISSN 1867-5514
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Textbook 2009n probability. For this reason, I have decided to write a chapter reviewing the basic elements of di?erential calculus. Even though this chapter might not be covered in class, the students can refer to it when needed. In this chapter, an e?ort was made to give the readers a good idea of the use in p
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1867-5506 robability, random variables, random vectors and the centralThe main intended audience for this book is undergraduate students in pure and applied sciences, especially those in engineering. Chapters 2 to 4 cover the probability theory they generally need in their training. Although the treatment of
发表于 2025-3-23 05:17:12 | 显示全部楼层
Textbook 2009r the probability theory they generally need in their training. Although the treatment of the subject is surely su?cient for non-mathematicians, I intentionally avoided getting too much into detail. For instance, topics such as mixed type random variables and the Dirac delta function are only brie?y
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