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Weak Convergence and Empirical Processes: With Applications to Statistics

4.5/5 ( ratings)

This book explores weak convergence theory and empirical processes and their applications to many applications in statistics. Part one reviews stochastic convergence in its various forms. Part two offers the theory of empirical processes in a form accessible to statisticians and probabilists. Part three covers a range of topics demonstrating the applicability of the theory to key questions such as measures of goodness of fit and the bootstrap.

Language: English

Pages: 510

Format: Hardcover

Publisher: Springer

Release: November 10, 2000

ISBN: 0387946403

ISBN 13: 9780387946405

Weak Convergence and Empirical Processes: With Applications to Statistics

4.5/5 ( ratings)

This book explores weak convergence theory and empirical processes and their applications to many applications in statistics. Part one reviews stochastic convergence in its various forms. Part two offers the theory of empirical processes in a form accessible to statisticians and probabilists. Part three covers a range of topics demonstrating the applicability of the theory to key questions such as measures of goodness of fit and the bootstrap.

Language: English

Pages: 510

Format: Hardcover

Publisher: Springer

Release: November 10, 2000

ISBN: 0387946403

ISBN 13: 9780387946405

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