Weak Convergence of Measures: Applications in Probability
โ Scribed by Patrick Billingsley
- Publisher
- Society for Industrial Mathematics
- Year
- 1987
- Tongue
- English
- Leaves
- 37
- Series
- CBMS-NSF Regional Conference Series in Applied Mathematics
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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 conclusion are proved under a new set of conditions that apply fairly broadly, but at the same time make possible relatively simple proofs.
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