A treatment of the convergence of probability measures from the foundations to applications in limit theory for dependent random variables. Mapping theorems are proved via Skorokhod's representation theorem; Prokhorov's theorem is proved by construction of a content. The limit theorems at the conclu
Weak convergence of measures: applications in probability
โ Scribed by Patrick Billingsley
- Publisher
- Society for Industrial Mathematics
- Year
- 1987
- Tongue
- English
- Leaves
- 42
- Series
- CBMS-NSF Regional Conference Series in Applied Mathematics
- Edition
- SIAM
- Category
- Library
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๐ SIMILAR VOLUMES
A treatment of the convergence of probability measures from the foundations to applications in limit theory for dependent random variables. Mapping theorems are proved via Skorokhod's representation theorem; Prokhorov's theorem is proved by construction of a content. The limit theorems at the conclu
A treatment of the convergence of probability measures from the foundations to applications in limit theory for dependent random variables. Mapping theorems are proved via Skorokhod's representation theorem; Prokhorov's theorem is proved by construction of a content. The limit theorems at the conclu