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Weak Convergence of Stochastic Processes: With Applications to Statistical Limit Theorems
Contributor(s): Mandrekar, Vidyadhar S. (Author)

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 ISBN: 3110475421     ISBN-13: 9783110475425
Publisher: de Gruyter
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Binding Type: Paperback - See All Available Formats & Editions
Published: September 2016
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Additional Information
BISAC Categories:
- Mathematics | Probability & Statistics - Stochastic Processes
Series: de Gruyter Textbook
Physical Information: 0.4" H x 6.7" W x 9.4" L (0.65 lbs) 148 pages
Features: Bibliography
 
Descriptions, Reviews, Etc.
Publisher Description:
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

Contributor Bio(s): Mandrekar, Vidyadhar S.: - Vidyadhar Mandrekar, Michigan State University, USA.
 
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