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Published by Cambridge University Press, Cambridge, England, 2003
ISBN 10: 0521592712 ISBN 13: 9780521592710
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Language: English
Published by Cambridge University Press, 2003
ISBN 10: 0521592712 ISBN 13: 9780521592710
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Published by Cambridge University Press, 2003
ISBN 10: 0521592712 ISBN 13: 9780521592710
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Published by Cambridge University Press, 2003
ISBN 10: 0521592712 ISBN 13: 9780521592710
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Published by Cambridge University Press, 2003
ISBN 10: 0521592712 ISBN 13: 9780521592710
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Language: English
Published by Cambridge University Press, 2003
ISBN 10: 0521592712 ISBN 13: 9780521592710
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hardcover. Condition: Good. Hardcover shows moderate cover wear. Text has some highlighting. Ships FAST!
Language: English
Published by Cambridge University Press, 2003
ISBN 10: 0521592712 ISBN 13: 9780521592710
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Published by Cambridge University Press, 2003
ISBN 10: 0521592712 ISBN 13: 9780521592710
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Language: English
Published by Cambridge University Press, 2003
ISBN 10: 0521592712 ISBN 13: 9780521592710
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Published by Cambridge University Press, 2003
ISBN 10: 0521592712 ISBN 13: 9780521592710
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Published by Cambridge University Press CUP, 2003
ISBN 10: 0521592712 ISBN 13: 9780521592710
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Published by Cambridge University Press
ISBN 10: 0511065892 ISBN 13: 9780511065897
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Soft cover. Condition: New. Dust Jacket Condition: New. 1st Edition. **INTERNATIONAL EDITION** Read carefully before purchase: This book is the international edition in mint condition with the different ISBN and book cover design, the major content is printed in full English as same as the original North American edition. The book printed in black and white, generally send in twenty-four hours after the order confirmed. All shipments contain tracking numbers. Great professional textbook selling experience and expedite shipping service.
Language: English
Published by Cambridge University Press, 2003
ISBN 10: 0521592712 ISBN 13: 9780521592710
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Published by Cambridge University Press, 2003
ISBN 10: 0521592712 ISBN 13: 9780521592710
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Language: English
Published by Cambridge University Press, 2003
ISBN 10: 0521592712 ISBN 13: 9780521592710
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Language: English
Published by Cambridge University Press, 2003
ISBN 10: 0521592712 ISBN 13: 9780521592710
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Published by Cambridge University Press, 2014
ISBN 10: 0511065892 ISBN 13: 9780511065897
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Trade paperback. Condition: New in new dust jacket. First edition. INTERNATIONAL EDITION. ***INTERNATIONAL EDITION*** Read carefully before purchase: This book is the international edition in mint condition with the different ISBN and book cover design, the major content is printed in full English as same as the original North American edition. The book printed in black and white, generally send in twenty-four hours after the order confirmed. All shipments contain tracking numbers. Great professional textbook selling experience and expedite shipping service. 759 p. Audience: General/trade.
Language: English
Published by Cambridge University Press, 2003
ISBN 10: 0521592712 ISBN 13: 9780521592710
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Language: English
Published by Cambridge University Press, 2003
ISBN 10: 0521592712 ISBN 13: 9780521592710
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Language: English
Published by Cambridge University Press, 2003
ISBN 10: 0521592712 ISBN 13: 9780521592710
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Language: English
Published by Cambridge University Press, 2003
ISBN 10: 0521592712 ISBN 13: 9780521592710
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Language: English
Published by Cambridge University Press, Cambridge, 2003
ISBN 10: 0521592712 ISBN 13: 9780521592710
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Hardcover. Condition: new. Hardcover. Going beyond the conventional mathematics of probability theory, this study views the subject in a wider context. It discusses new results, along with applications of probability theory to a variety of problems. The book contains many exercises and is suitable for use as a textbook on graduate-level courses involving data analysis. Aimed at readers already familiar with applied mathematics at an advanced undergraduate level or higher, it is of interest to scientists concerned with inference from incomplete information. Going beyond the conventional mathematics of probability theory, this study views the subject in a wider context. It discusses new results, along with applications of probability theory to a variety of problems. The book contains many exercises and is suitable for use as a textbook on graduate-level courses involving data analysis. Aimed at readers already familiar with applied mathematics at an advanced undergraduate level or higher, it is of interest to scientists concerned with inference from incomplete information. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by Cambridge University Press, 2003
ISBN 10: 0521592712 ISBN 13: 9780521592710
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Hardcover. Condition: Gut. 758 pp. Cover slightly rubbed at the edges, with some pressure marks and scratches and slightly discolored at spine. Well preserved inside 354 Sprache: Englisch Gewicht in Gramm: 180.
Language: English
Published by Cambridge University Press, 2003
ISBN 10: 0521592712 ISBN 13: 9780521592710
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Language: English
Published by Cambridge University Press, 2003
ISBN 10: 0521592712 ISBN 13: 9780521592710
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Language: English
Published by Cambridge University Press, 2003
ISBN 10: 0521592712 ISBN 13: 9780521592710
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Language: English
Published by Cambridge University Press, GB, 2003
ISBN 10: 0521592712 ISBN 13: 9780521592710
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Hardback. Condition: New. The standard rules of probability can be interpreted as uniquely valid principles in logic. In this book, E. T. Jaynes dispels the imaginary distinction between 'probability theory' and 'statistical inference', leaving a logical unity and simplicity, which provides greater technical power and flexibility in applications. This book goes beyond the conventional mathematics of probability theory, viewing the subject in a wider context. New results are discussed, along with applications of probability theory to a wide variety of problems in physics, mathematics, economics, chemistry and biology. It contains many exercises and problems, and is suitable for use as a textbook on graduate level courses involving data analysis. The material is aimed at readers who are already familiar with applied mathematics at an advanced undergraduate level or higher. The book will be of interest to scientists working in any area where inference from incomplete information is necessary.
Language: English
Published by Cambridge University Press, GB, 2003
ISBN 10: 0521592712 ISBN 13: 9780521592710
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Add to basketHardback. Condition: New. The standard rules of probability can be interpreted as uniquely valid principles in logic. In this book, E. T. Jaynes dispels the imaginary distinction between 'probability theory' and 'statistical inference', leaving a logical unity and simplicity, which provides greater technical power and flexibility in applications. This book goes beyond the conventional mathematics of probability theory, viewing the subject in a wider context. New results are discussed, along with applications of probability theory to a wide variety of problems in physics, mathematics, economics, chemistry and biology. It contains many exercises and problems, and is suitable for use as a textbook on graduate level courses involving data analysis. The material is aimed at readers who are already familiar with applied mathematics at an advanced undergraduate level or higher. The book will be of interest to scientists working in any area where inference from incomplete information is necessary.
Hardcover. Condition: Brand New. 1st edition. 753 pages. 10.25x7.25x1.50 inches. In Stock.
Language: English
Published by Cambridge University Press, GB, 2003
ISBN 10: 0521592712 ISBN 13: 9780521592710
Seller: Rarewaves USA United, OSWEGO, IL, U.S.A.
Hardback. Condition: New. The standard rules of probability can be interpreted as uniquely valid principles in logic. In this book, E. T. Jaynes dispels the imaginary distinction between 'probability theory' and 'statistical inference', leaving a logical unity and simplicity, which provides greater technical power and flexibility in applications. This book goes beyond the conventional mathematics of probability theory, viewing the subject in a wider context. New results are discussed, along with applications of probability theory to a wide variety of problems in physics, mathematics, economics, chemistry and biology. It contains many exercises and problems, and is suitable for use as a textbook on graduate level courses involving data analysis. The material is aimed at readers who are already familiar with applied mathematics at an advanced undergraduate level or higher. The book will be of interest to scientists working in any area where inference from incomplete information is necessary.