Theory of Probability : Explorations and Applications
ISBN: 9781107024472 | 1107024471
Format: HardcoverPublisher: Cambridge Univ Pr
Pub. Date: 12/17/2012
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From classical foundations to advanced modern theory, this self-contained and comprehensive guide to probability uses a pedagogical focus on discovery and elementary methods of proof, to weave together mathematical proofs, historical context and richly detailed illustrative applications. A fascinating reference and essential resource, for engineers, computer scientists and mathematicians.
| Elements | |
| Probability spaces | |
| Conditional probability | |
| A first look at independence | |
| Probability sieves | |
| Numbers play a game of chance | |
| The normal law | |
| Probabilities on the real line | |
| The Bernoulli schema | |
| The essence of randomness | |
| The coda of the normal | |
| Fou... MORE | |
| Distribution functions and measure | |
| Random variables | |
| Great expectations | |
| Variations on a theme of integration | |
| Laplace transforms | |
| The law of large numbers | |
| From inequalities to concentration | |
| Poisson approximation | |
| Convergence in law, selection theorems | |
| Normal approximation | |
| Appendices | |
| Sequences, functions, spaces | |
| Table of Contents provided by Publisher. All Rights Reserved. |
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