Elements of Modern Asymptotic Theory with Statistical Applications

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Manchester University Press, 1993 - Mathematics - 264 pages
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Contents

Probability and measure
1
Concepts of asymptotic convergence
48
1
8
103
4
107
7
113
Maximum likelihood and asymptotic theory
128
Metric spaces and stochastic processes
155
Brownian motion and weak convergence
171
Applications of weak convergence
193
Dependent random variables and mixing
215
Dependent sequences and martingales
238
References
255
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