The authors believe that a proper treatment of probability theory requires an adequate background in the theory of finite measures in general spaces.
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The authors believe that a proper treatment of probability theory requires an adequate background in the theory of finite measures in general spaces. The first part of their book sets out this material in a form which not only provides an introduction for intending specialists in measure theory but also meets the needs of students of probability.
Preface; 1. Theory of sets; 2. Point set topology; 3. Set functions; 4. Construction and propertied of measures; 5. Definitions and properties of the integral; 6. Related spaces and measures; 7. The space of measurable functions; 8. Linear functionals; 9. Structure of measures in special spaces; 10. What is probability?; 11. Random variables; 12. Characteristic functions; 13. Independence; 14. Finite collections of random variables; 15. Stochastic processes.
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Da: Hay-on-Wye Booksellers, Hay-on-Wye, HEREF, Regno Unito
Condizione: Very Good. Scuffs, wear and marks to dust jacket. Knocks and scuffs to edge of cover. Foxing to textblock. Contents very good. Codice articolo 076949-9a
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Condizione: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,800grams, ISBN:0521058880. Codice articolo 5845606
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Hardcover. Condizione: new. New Copy. Customer Service Guaranteed. Codice articolo 2Z41_38_0521058880
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