ISBN: 9789812703712 - first look at rigorous probability theory, a (2nd edition) [lingua inglese] (37 risultati)

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Condizione: New. pp. 236.

Soft cover. Condizione: New. ISBN:9789812703712,xvi+219pp.

Condizione: New.

Paperback. Condizione: New. This textbook is an introduction to probability theory using measure theory. It is designed for graduate students in a variety of fields (mathematics, statistics, economics, management, finance, computer science, and engineering) who require a working knowledge of probability theory that is mathematically precise, but without excessive technicalities. The text provides complete proofs of all the essential introductory results. Nevertheless, the treatment is focused and accessible, with the measure theory and mathematical details presented in terms of intuitive probabilistic concepts, rather than as separate, imposing subjects. In this new edition, many exercises and small additional topics have been added and existing ones expanded. The text strikes an appropriate balance, rigorously developing probability theory while avoiding unnecessary detail.…

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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Paperback or Softback. Condizione: New. A First Look at Rigorous Probability Theory. Book.

Paperback. Condizione: New. This textbook is an introduction to probability theory using measure theory. It is designed for graduate students in a variety of fields (mathematics, statistics, economics, management, finance, computer science, and engineering) who require a working knowledge of probability theory that is mathematically precise, but without excessive technicalities. The text provides complete proofs of all the essential introductory results. Nevertheless, the treatment is focused and accessible, with the measure theory and mathematical details presented in terms of intuitive probabilistic concepts, rather than as separate, imposing subjects. In this new edition, many exercises and small additional topics have been added and existing ones expanded. The text strikes an appropriate balance, rigorously developing probability theory while avoiding unnecessary detail.…

Paperback. Condizione: new. Paperback. This textbook is an introduction to probability theory using measure theory. It is designed for graduate students in a variety of fields (mathematics, statistics, economics, management, finance, computer science, and engineering) who require a working knowledge of probability theory that is mathematically precise, but without excessive technicalities. The text provides complete proofs of all the essential introductory results. Nevertheless, the treatment is focused and accessible, with the measure theory and mathematical details presented in terms of intuitive probabilistic concepts, rather than as separate, imposing subjects. In this new edition, many exercises and small additional topics have been added and existing ones expanded. The text strikes an appropriate balance, rigorously developing probability theory while avoiding unnecessary detail. Features an introduction to probability theory using measure theory. This work provides proofs of the essential introductory results and presents the measure theory and mathematical details in terms of intuitive probabilistic concepts, rather than as separate, imposing subjects. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

paperback. Condizione: Very Good. Fast Shipping - Safe and Secure 7 days a week.

Condizione: New.

Condizione: new.

Condizione: Gebraucht / Used. Paperback. Good. Xvi,219pp.

Condizione: New.

Condizione: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.…

Condizione: New. In English.

Condizione: New. Features an introduction to probability theory using measure theory. This work provides proofs of the essential introductory results and presents the measure theory and mathematical details in terms of intuitive probabilistic concepts, rather than as separate, imposing subjects. Num Pages: 236 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 227 x 153 x 16. Weight in Grams: 430. . 2006. 2nd Edition. Paperback. . . . .…

Condizione: As New. Unread book in perfect condition.

Condizione: New. pp. 236.

Condizione: New. Features an introduction to probability theory using measure theory. This work provides proofs of the essential introductory results and presents the measure theory and mathematical details in terms of intuitive probabilistic concepts, rather than as separate, imposing subjects. Num Pages: 236 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 227 x 153 x 16. Weight in Grams: 430. . 2006. 2nd Edition. Paperback. . . . . Books ship from the US and Ireland.…

Paperback. Condizione: Brand New. 2nd edition. 219 pages. 8.75x6.00x0.75 inches. In Stock.

Condizione: NEW.

Paperback. Condizione: new. Paperback. This textbook is an introduction to probability theory using measure theory. It is designed for graduate students in a variety of fields (mathematics, statistics, economics, management, finance, computer science, and engineering) who require a working knowledge of probability theory that is mathematically precise, but without excessive technicalities. The text provides complete proofs of all the essential introductory results. Nevertheless, the treatment is focused and accessible, with the measure theory and mathematical details presented in terms of intuitive probabilistic concepts, rather than as separate, imposing subjects. In this new edition, many exercises and small additional topics have been added and existing ones expanded. The text strikes an appropriate balance, rigorously developing probability theory while avoiding unnecessary detail. Features an introduction to probability theory using measure theory. This work provides proofs of the essential introductory results and presents the measure theory and mathematical details in terms of intuitive probabilistic concepts, rather than as separate, imposing subjects. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…