University Of Zambia Online Public Access Catalogue
Journal of Applied Probability
Material type:
Continuing resourceAnalytics: Show analyticsPublisher: Cambridge ISSN: 1475-6072.Subject(s): ProbabilitySummary: The Journal of Applied Probability is the oldest journal devoted to the publication of research in the field of applied probability. It is an international journal published by the Applied Probability Trust, and it serves as a companion publication to the Advances in Applied Probability. Its wide audience includes leading researchers across the entire spectrum of applied probability, including biosciences applications, operations research, telecommunications, computer science, engineering, epidemiology, financial mathematics, the physical and social sciences, and any field where stochastic modeling is used.
| Item type | Current location | Call number | URL | Copy number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|
Electronic Resource
|
Main Library Serials | HTTPS://WWW.CAMBRIDGE.ORG (Browse shelf) | https://www.cambridge.org/core/journals/journal-of-applied-probability | 1 | Available | 6072111964 | |
|
Electronic Resource
|
Main Library Serials | HTTPS://WWW.CAMBRIDGE.ORG (Browse shelf) | 2 | Available | 60725512018 |
Browsing Main Library Shelves , Shelving location: Serials Close shelf browser
| No cover image available | No cover image available | No cover image available | No cover image available | No cover image available | No cover image available | No cover image available | ||
| HTTPS://WWW.CAMBRIDGE.ORG Epidemiology & Infection | HTTPS://WWW.CAMBRIDGE.ORG Epidemiology & Infection | HTTPS://WWW.CAMBRIDGE.ORG Journal of Applied Probability | HTTPS://WWW.CAMBRIDGE.ORG Journal of Applied Probability | HTTPS://WWW.CAMBRIDGE.ORG Network Science | HTTPS://WWW.CAMBRIDGE.ORG Network Science | HTTPS://WWW.CAMBRIDGE.ORG Journal of Applied Probability |
The Journal of Applied Probability is the oldest journal devoted to the publication of research in the field of applied probability. It is an international journal published by the Applied Probability Trust, and it serves as a companion publication to the Advances in Applied Probability. Its wide audience includes leading researchers across the entire spectrum of applied probability, including biosciences applications, operations research, telecommunications, computer science, engineering, epidemiology, financial mathematics, the physical and social sciences, and any field where stochastic modeling is used.
There are no comments for this item.