Weak Convergence Of Measures: Applications In Probability #2020

Weak Convergence Of Measures: Applications In Probability Patrick Billingsley 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 th

  • Title: Weak Convergence Of Measures: Applications In Probability
  • Author: Patrick Billingsley
  • ISBN: 9780898711769
  • Page: 124
  • Format: Paperback
  • Weak Convergence Of Measures: Applications In Probability Patrick Billingsley 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, buA 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.
    Weak Convergence Of Measures: Applications In Probability Patrick Billingsley

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      124 Patrick Billingsley
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      Published :2020-01-05T02:54:08+00:00

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