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Weak Convergence of Measures: Applications in Probability
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.
Book Details
- Publisher: Society for Industrial and Applied Mathematic
- Publish Date: Jan 1st, 1987
- Pages: 37
- Language: English
- Edition: undefined - undefined
- Dimensions: 0.00in - 0.00in - 0.00in - 0.00lb
- EAN: 9780898711769
- Categories: • Mathematical Analysis