Compactly written, but nevertheless very readable, appealing to intuition, this introduction to probability theory is an excellent textbook for a one-semester course for undergraduates in any direction that uses probabilistic ideas. Technical machinery is only introduced when necessary.
The route is rigorous but does not use measure theory. The text is illustrated with many original and surprising examples and problems taken from classical applications like gambling, geometry or graph theory, as well as from applications in biology, medicine, social sciences, sports, and coding theory. Only first-year calculus is required.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
A natural introduction to probability theory By Ronald Meester
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Paperback. Etat : new. Paperback. According to Leo Breiman (1968), probability theory has a right and a left hand. The right hand refers to rigorous mathematics, and the left hand refers to pro- bilistic thinking. The combination of these two aspects makes probability theory one of the most exciting ?elds in mathematics. One can study probability as a purely mathematical enterprise, but even when you do that, all the concepts that arisedo haveameaningontheintuitivelevel.Forinstance,wehaveto de?newhat we mean exactly by independent events as a mathematical concept, but clearly, we all know that when we ?ip a coin twice, the event that the ?rst gives heads is independent of the event that the second gives tails. Why have I written this book? I have been teaching probability for more than ?fteen years now, and decided to do something with this experience. There are already many introductory texts about probability, and there had better be a good reason to write a new one. I will try to explain my reasons now. This introduction to probability theory is an excellent textbook for a one-semester course for undergraduates in any direction that uses probabilistic ideas. Compact but readable, it appeals to intuition and introduces technical machinery only when necessary. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783764387235
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -According to Leo Breiman (1968), probability theory has a right and a left hand. The right hand refers to rigorous mathematics, and the left hand refers to 'pro- bilistic thinking'. The combination of these two aspects makes probability theory one of the most exciting elds in mathematics. One can study probability as a purely mathematical enterprise, but even when you do that, all the concepts that arisedo haveameaningontheintuitivelevel.Forinstance,wehaveto de newhat we mean exactly by independent events as a mathematical concept, but clearly, we all know that when we ip a coin twice, the event that the rst gives heads is independent of the event that the second gives tails. Why have I written this book I have been teaching probability for more than fteen years now, and decided to do something with this experience. There are already many introductory texts about probability, and there had better be a good reason to write a new one. I will try to explain my reasons now. 208 pp. Englisch. N° de réf. du vendeur 9783764387235
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Etat : New. This introduction to probability theory is an excellent textbook for a one-semester course for undergraduates in any direction that uses probabilistic ideas. Compact but readable, it appeals to intuition and introduces technical machinery only when necessary. Num Pages: 198 pages, biography. BIC Classification: PBT. Category: (UU) Undergraduate. Dimension: 240 x 171 x 13. Weight in Grams: 326. . 2008. 2nd ed. 2008. Paperback. . . . . N° de réf. du vendeur V9783764387235
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