Probability measure (729 Ergebnisse)

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Paperback. Zustand: new. Paperback. This text provides undergraduate mathematics students with an introduction to the modern theory of probability as well as the roots of the theory's mathematical ideas and techniques. Centered around the concept of measure and integration, the treatment is applicable to other branches of analysis and explores more specialized topics, including convergence theorems and random sequences and functions.The initial part is devoted to an exploration of measure and integration from first principles, including sets and set functions, general theory, and integrals of functions of real variables. These topics provide tools for use in the second part, which emphasizes underlying mathematical ideas, including the roles of random variables and limit processes in probability. The concise format and exposition offer an ideal review of the subject for students with some background in probability. Introductory treatment develops the theory of integration in a general context, making it applicable to other branches of analysis. More specialized topics include convergence theorems and random sequences and functions. 1963 edition. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Hardcover. Zustand: Very Good. Zustand des Schutzumschlags: Fair. Springer-Verlag, 1978. xii, 312 pp. 22 x 14.5 cm. Rose colored cloth covered boards with gilt lettering to spine, in an illustrated dustjacket printed in orange, black, and white with black lettering. Printed in India at Macmillan India Press, Madras. Large chips missing from head and tail of jacket, with rubbing and light soil to panels. What is left of the jacket is preserved in a mylar cover. Some sunning and light bumping to spine ends, with rubbing to corners of boards. Interior is clean and unmarked. Binding is sound. . Hard Cover. Very Good/Fair.…

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

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Soft cover. Zustand: As New. Contents Preface. 1. Probability on Boolean algebras. 2. Extension of measures. 3. Borel maps. 4. Integration. 5. Measures on product spaces. 6. Hilbert space and conditional expectation. 7. Weak convergence of probability measures. 8. Invariant measures on groups. According to a remark attributed to Mark Kac probability theory is Measure theory with a Soul. Furthermore measure theory has its own ramifications in topics like function spaces operator theory generalized functions ergodic theory group representations quantum probability etc. On the other hand recent explosive developments in the applications of probability theory have imposed the need for a good grasp of measure theory among a wide spectrum of scholars ranging from economists to engineers and physicists to psychologists. This book with its choice of proofs remarks examples and exercises has been prepared taking both these aesthetic and practical aspects into account. 339 pp. …

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