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About Convergence of Probability Measures

Asymptotic distribution theorems in probability and statistics have, from the beginning, depended on the classical theory of weak convergence of distribution functions in Euclidean space. The past several decades have seen the creation and extensive application of a more inclusive theory of weak convergence of probability measures on metric spaces.

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  • Language:
  • English
  • ISBN:
  • 9780471197454
  • Binding:
  • Hardback
  • Pages:
  • 304
  • Published:
  • August 22, 1999
  • Edition:
  • 2
  • Dimensions:
  • 160x243x19 mm.
  • Weight:
  • 630 g.
Delivery: 2-4 weeks
Expected delivery: August 15, 2025

Description of Convergence of Probability Measures

Asymptotic distribution theorems in probability and statistics have, from the beginning, depended on the classical theory of weak convergence of distribution functions in Euclidean space. The past several decades have seen the creation and extensive application of a more inclusive theory of weak convergence of probability measures on metric spaces.

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