An introduction to probability theory and its applications

Front Cover
Wiley, 1971 - Business & Economics - 704 pages
1 Review
The exponential and the uniform densities; Special densities. Randomization; Densities in higher dimensions. Normal densities and processes; Probability measures and spaces; Probability distributions in Rr; A survey of some important distributions and processes; Laws of large numbers. Aplications in analysis; The basic limit theorems; Infinitely divisible distributions and semi-groups; Markov processes and semi-groups; Renewal theory; Random walks in R1; Laplace transforms. Tauberian theorems. Resolvents; Aplications of Laplace transforms; Characteristic functions; Expansions related to the central limit theorem; Infinitely divisible distributions; Applications of Fourier methods to ramdom walks; harmonic analysis; Answers to problems.

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Review: An Introduction to Probability Theory and Its Applications, Volume 1

User Review  - DJ - Goodreads

Greatly enjoyed my intro probability class but interested in plugging holes and exploring further. Heard this was the probability monogram and have high expectations. Read full review

Review: An Introduction to Probability Theory and Its Applications, Volume 1

User Review  - Goodreads

Greatly enjoyed my intro probability class but interested in plugging holes and exploring further. Heard this was the probability monogram and have high expectations. Read full review

Contents

The Exponential and the Uniform Densities
1
Densities Convolutions
3
The Exponential Density
8
Copyright

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