Probability and Measure
Probability and Measure
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Résumé
The text begins with an introduction to Borel's normal number theorem. Coverage includes key topics in measure, integration, random variables and expected values, convergence of distributions, derivatives and conditional probability and stochastic processes.
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Probability and Measure by Patrick Billingsley
Borel's normal number theorem, proved by calculus alone, followed by short sections that establish the existence and fundamental properties of probability measures, presenting lebesque measure on the unit interval. Coverage includes key topics in measure, integration, random variables and expected values, convergence of distributions, derivatives and conditional probability and stochastic processes.
PATRICK BILLINGSLEY is Professor of Statistics and Mathematics at the University of Chicago. He is the coauthor (with Watson et al.) of Statistics for Management and Economics; (with D. L. Huntsberger) of Elements of Statistical Inference; and the author of Convergence of Probability Measures (Wiley-Interscience), among other works. Dr. Billingsley has also edited the Annals of Probability for the Institute of Mathematical Statistics. He received his PhD in mathematics from Princeton University.
| SKU | Non disponible |
| ISBN 13 | 9780471804789 |
| ISBN 10 | 0471804789 |
| Titre | Probability and Measure |
| Auteur | Patrick Billingsley |
| Série | Probability And Mathematical Statistics S |
| État | Non disponible |
| Type de reliure | Hardback |
| Éditeur | John Wiley and Sons Ltd |
| Année de publication | 1986-01-17 |
| Nombre de pages | 636 |
| Note de couverture | La photo du livre est présentée à titre d'illustration uniquement. La reliure, la couverture ou l'édition réelle peuvent varier. |
| Note | Non disponible |