Published by Clarendon Press (edition 1), 1995
ISBN 10: 019853499X ISBN 13: 9780198534990
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Published by Clarendon Press, 1995
ISBN 10: 019853499X ISBN 13: 9780198534990
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Published by Springer, 2011
ISBN 10: 3642658113 ISBN 13: 9783642658112
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Published by Clarendon Press, 1995
ISBN 10: 019853499X ISBN 13: 9780198534990
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Published by Springer, 2011
ISBN 10: 3642658113 ISBN 13: 9783642658112
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Published by OXFORD UNIV PR, 1995
ISBN 10: 019853499X ISBN 13: 9780198534990
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Published by Clarendon Press, 1995
ISBN 10: 019853499X ISBN 13: 9780198534990
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Hardcover. Condition: Good. This book offers a superb overview of limit theorems and probability inequalities for sums of independent random variables. Unique in its combination of both classic and recent results, the book details the many practical aspects of these important tools for solving a great variety of problems in probability and statistics. Topics include limit theorems on convergence to infinitely divisible distributions, the central limit theorem with rates of convergence, the weak and strong law of large numbers, the law of the iterated logarithm, and the many inequalities for sums of an arbitrary number random variables. Ideal as both a graduate text and a reference for seasoned mathematicians, Limit Theorems of Probability Theory brings the reader to the frontier of current research.
Published by Springer, 2011
ISBN 10: 3642658113 ISBN 13: 9783642658112
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Published by Editorial URSS, 2003
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Published by Springer, 2011
ISBN 10: 3642658113 ISBN 13: 9783642658112
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Published by Clarendon Press, 1995
ISBN 10: 019853499X ISBN 13: 9780198534990
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Published by Clarendon Press, 1995
ISBN 10: 019853499X ISBN 13: 9780198534990
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Published by Clarendon Press, 1995
ISBN 10: 019853499X ISBN 13: 9780198534990
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Published by Clarendon Press, 1995
ISBN 10: 019853499X ISBN 13: 9780198534990
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Published by Clarendon Press, 1995
ISBN 10: 019853499X ISBN 13: 9780198534990
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Published by Clarendon Press, 1995
ISBN 10: 019853499X ISBN 13: 9780198534990
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Published by OUP Oxford, 1995
ISBN 10: 019853499X ISBN 13: 9780198534990
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Published by Clarendon Press, 1995
ISBN 10: 019853499X ISBN 13: 9780198534990
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Published by Clarendon Press, 1995
ISBN 10: 019853499X ISBN 13: 9780198534990
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Published by Clarendon Press, 1995
ISBN 10: 019853499X ISBN 13: 9780198534990
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Published by Clarendon Press, 1995
ISBN 10: 019853499X ISBN 13: 9780198534990
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Published by Clarendon Press, 1995
ISBN 10: 019853499X ISBN 13: 9780198534990
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Published by Oxford University Press, Oxford, 1995
ISBN 10: 019853499X ISBN 13: 9780198534990
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Hardcover. Condition: new. Hardcover. This book is devoted to limit theorems and probability inequalities for sums of independent random variables. It includes limit theorems on convergence to infinitely divisible distributions, the central limit theorem with rates of convergence, the weak and strong law of large numbers, the law of the iterated logarithm, and also many inequalities for sums of an arbitrary number of random variables. The aim of the book is two-fold. First, thebook can be a basis for a course in probability for graduate or advanced undergraduate students. Second, the book can serve as a reference formulations of many (mostly recent) results which areusually inaccessible in book form. These supplements border on the basic text and make it possible for the reader to look at the frontier of modern investigations. Devoted to limit theorems and probability inequalities for sums of independent random variables, both the classical and the most recent results are explained, and every chapter has supplements with formulations of many of these results. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Clarendon Press, 1995
ISBN 10: 019853499X ISBN 13: 9780198534990
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Published by Clarendon Press, 1995
ISBN 10: 019853499X ISBN 13: 9780198534990
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Published by OUP Oxford, 1995
ISBN 10: 019853499X ISBN 13: 9780198534990
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Published by Clarendon Press, 1995
ISBN 10: 019853499X ISBN 13: 9780198534990
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Published by Clarendon Press, 1995
ISBN 10: 019853499X ISBN 13: 9780198534990
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Published by Oxford University Press, Oxford, 1995
ISBN 10: 019853499X ISBN 13: 9780198534990
Seller: Grand Eagle Retail, Wilmington, DE, U.S.A.
Hardcover. Condition: new. Hardcover. This book is devoted to limit theorems and probability inequalities for sums of independent random variables. It includes limit theorems on convergence to infinitely divisible distributions, the central limit theorem with rates of convergence, the weak and strong law of large numbers, the law of the iterated logarithm, and also many inequalities for sums of an arbitrary number of random variables. The aim of the book is two-fold. First, thebook can be a basis for a course in probability for graduate or advanced undergraduate students. Second, the book can serve as a reference formulations of many (mostly recent) results which areusually inaccessible in book form. These supplements border on the basic text and make it possible for the reader to look at the frontier of modern investigations. Devoted to limit theorems and probability inequalities for sums of independent random variables, both the classical and the most recent results are explained, and every chapter has supplements with formulations of many of these results. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Oxford University Press, USA Jun 1995, 1995
ISBN 10: 019853499X ISBN 13: 9780198534990
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Neuware - This book offers a superb overview of limit theorems and probability inequalities for sums of independent random variables. Unique in its combination of both classic and recent results, the book details the many practical aspects of these important tools for solving a great variety of problems in probability and statistics. Topics include limit theorems on convergence to infinitely divisible distributions, the central limit theorem with rates of convergence, the weak and strong law of large numbers, the law of the iterated logarithm, and the many inequalities for sums of an arbitrary number random variables. Ideal as both a graduate text and a reference for seasoned mathematicians, Limit Theorems of Probability Theory brings the reader to the frontier of current research.