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
Further asymptotic theory with applications in regression
82
Likelihood and associated concepts
106
Maximum likelihood and asymptotic theory
129
Metric spaces and stochastic processes
155
Applications of weak convergence
193
Dependent random variables and mixing
215
Dependent sequences and martingales
238
References
255
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