Probability (Springer Texts in Statistics). Cet article n’est pas disponible.
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Langue : anglais
Edité par Springer (edition ), 1993
- Livre relié
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A propos de cet article
It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
N° de réf. du vendeur 0387979743-11-1
- Titre
- Probability (Springer Texts in Statistics)
- Auteur
- Pitman, Jim
- Éditeur
- Springer (edition )
- Année de publication
- 1993
- État de l'article
- Very Good
- Reliure
- Hardcover
- Langue
- anglais
- ISBN à 10 chiffres
- 0387979743
- ISBN à 13 chiffres
- 9780387979748
- Série
- Livre 4 sur 111: Springer Texts in Statistics
This is a text for a one-quarter or one-semester course in probability, aimed at students who have done a year of calculus. The book is organised so a student can learn the fundamental ideas of probability from the first three chapters without reliance on calculus. Later chapters develop these ideas further using calculus tools. The book contains more than the usual number of examples worked out in detail.
The most valuable thing for students to learn from a course like this is how to pick up a probability problem in a new setting and relate it to the standard body of theory. The more they see this happen in class, and the more they do it themselves in exercises, the better. The style of the text is deliberately informal. My experience is that students learn more from intuitive explanations, diagrams, and examples than they do from theorems and proofs. So the emphasis is on problem solving rather than theory.
The most valuable thing for students to learn from a course like this is how to pick up a probability problem in a new setting and relate it to the standard body of theory. The more they see this happen in class, and the more they do it themselves in exercises, the better. The style of the text is deliberately informal. My experience is that students learn more from intuitive explanations, diagrams, and examples than they do from theorems and proofs. So the emphasis is on problem solving rather than theory.
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À propos de l’auteur
Jim Pitman is a Professor in the Departments of Statistics and Mathematics in the University of California at Berkeley, USA.
« A propos de ce titre » peut appartenir à une autre édition de cet ouvrage.
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