ISBN: 9780898716849 - empirical processes with applications to statistics (17 risultati)

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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

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Condizione: new.

Condizione: New. 2009. Paperback. . . . . .

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Paperback. Condizione: Brand New. 956 pages. 9.25x6.25x1.75 inches. In Stock.

Paperback. Condizione: New. Revised ed. Originally published in 1986, this valuable reference provides a detailed treatment of limit theorems and inequalities for empirical processes of real-valued random variables. It also includes applications of the theory to censored data, spacings, rank statistics, quantiles, and many functionals of empirical processes, including a treatment of bootstrap methods, and a summary of inequalities that are useful for proving limit theorems.At the end of the Errata section, the authors have supplied references to solutions for 11 of the 19 Open Questions provided in the book's original edition.…

Condizione: New. pp. xli + 956 Illus.

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Kartoniert / Broschiert. Condizione: New. &Uumlber den AutorGalen R. Shorack is a Professor of Statistics at the University of Washington. He is a Fellow of the Institute of Mathematical Statistics and has written a graduate level text on probability theory. Jon A. Wellner is .

Condizione: New. pp. xli + 956.

Condizione: New. In English.

Taschenbuch. Condizione: Neu. Neuware - Originally published in 1986, this valuable reference provides a detailed treatment of limit theorems and inequalities for empirical processes of real-valued random variables. It also includes applications of the theory to censored data, spacings, rank statistics, quantiles, and many functionals of empirical processes, including a treatment of bootstrap methods, and a summary of inequalities that are useful for proving limit theorems.At the end of the Errata section, the authors have supplied references to solutions for 11 of the 19 Open Questions provided in the book's original edition.…

Paperback. Condizione: New. Revised ed. Originally published in 1986, this valuable reference provides a detailed treatment of limit theorems and inequalities for empirical processes of real-valued random variables. It also includes applications of the theory to censored data, spacings, rank statistics, quantiles, and many functionals of empirical processes, including a treatment of bootstrap methods, and a summary of inequalities that are useful for proving limit theorems.At the end of the Errata section, the authors have supplied references to solutions for 11 of the 19 Open Questions provided in the book's original edition.…