Basic probability theory applications di lefebvre mario (31 risultati)

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Lingua: Inglese
Editore: Springer, 2009
Serie: Libro 3 di 32 - Springer Undergraduate Texts in Mathematics and Technology
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Serie: Libro 3 di 32 - Springer Undergraduate Texts in Mathematics and Technology
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Condizione: New. pp. 358.

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Condizione: New. pp. xvi + 340.

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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 sub…ject 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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Serie: Libro 3 di 32 - Springer Undergraduate Texts in Mathematics and Technology
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Taschenbuch. Condizione: 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 trea…tment 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. 356 pp. Englisch.

Lingua: Inglese
Editore: Springer, 2012
Serie: Libro 3 di 32 - Springer Undergraduate Texts in Mathematics and Technology
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 limit theorem a…re covered Applications .

Lingua: Inglese
Editore: Springer New York Aug 2009, 2009
Serie: Libro 3 di 32 - Springer Undergraduate Texts in Mathematics and Technology
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: 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 o…f 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.

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Editore: Springer, Copernicus Mär 2012, 2012
Serie: Libro 3 di 32 - Springer Undergraduate Texts in Mathematics and Technology
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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 treatmen…t 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 356 pp. Englisch.

Lingua: Inglese
Editore: Springer New York, 2009
Serie: Libro 3 di 32 - Springer Undergraduate Texts in Mathematics and Technology
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 limit… theorem are covered Applications .

Lingua: Inglese
Editore: Springer, 2009
Serie: Libro 3 di 32 - Springer Undergraduate Texts in Mathematics and Technology
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Condizione: New. Print on Demand pp. xvi + 340 Illus.

Lingua: Inglese
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND pp. xvi + 340.

Lingua: Inglese
Editore: Springer, Copernicus Aug 2009, 2009
Serie: Libro 3 di 32 - Springer Undergraduate Texts in Mathematics and Technology
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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 th…e 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 360 pp. Englisch.