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Sinopsis
Unusual book
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Críticas
From the reviews: "This book's introductory sections on probability theory are typical of most textbooks in the content of presentation ... . There are many examples with detailed solutions and a large number of exercises are included at the ends of the chapters. ... used as a textbook for engineers, computer scientists and ... students in economics and finance will be able to understand it. This book would be my choice for a textbook if I were to teach a course in probability theory for math majors." (Charles Ashbacher, The Mathematical Association of America, November, 2009) "This textbook is designed for a course in probability theory at the undergraduate post-calculus level. ... The book should be a good choice for a course at the indicated level." (Gerald A. Heuer, Zentralblatt MATH, Vol. 1192, 2010)
Reseña del editor
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 probability theory of the concepts they should already know. Chapter 2 presents the main results of what is known as elementary probability, including Bayes’ rule and elements of combinatorial analysis.
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- EditorialSpringer-Verlag New York Inc.
- Año de publicación2009
- ISBN 10 0387749942
- ISBN 13 9780387749945
- EncuadernaciónTapa dura
- IdiomaInglés
- Número de páginas340
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BASIC PROBABILITY THEORY WITH APPLICATIONS
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BASIC PROBABILITY THEORY WITH APPLICATIONS
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BASIC PROBABILITY THEORY WITH APPLICATIONS
Edición internacionalLibrería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide. Nº de ref. del artículo: ABNR-53717
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Basic Probability Theory with Applications (Springer Undergraduate Texts in Mathematics and Technology)
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Basic Probability Theory with Applications
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Springer New York Aug 2009, 2009
ISBN 10: 0387749942
ISBN 13: 9780387749945
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 probability theory of the concepts they should already know. Chapter 2 presents the main results of what is known as elementary probability, including Bayes' rule and elements of combinatorial analysis. 360 pp. Englisch. Nº de ref. del artículo: 9780387749945
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