Weakly Stationary Random Fields, Invariant Subspaces and Applications
Vidyadhar S. Mandrekar, David A. Redett
Häftad, 2020
778 kr
Weak Convergence of Stochastic Processes
With Applications to Statistical Limit Theorems
887 kr
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Beskrivning
The purpose of this book is to present results on the subject of weak convergence in function spaces to study invariance principles in statistical applications to dependent random variables, U-statistics, censor data analysis. Different techniques, formerly available only in a broad range of literature, are for the first time presented here in a self-contained fashion. Contents:Weak convergence of stochastic processesWeak convergence in metric spacesWeak convergence on C[0, 1] and D[0,∞)Central limit theorem for semi-martingales and applicationsCentral limit theorems for dependent random variablesEmpirical processBibliography
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