Sprache: Englisch
Verlag: Cambridge University Press, 2003
ISBN 10: 0521592712 ISBN 13: 9780521592710
Anbieter: Books From California, Simi Valley, CA, USA
Hardcover. Zustand: Fine.
Sprache: Englisch
Verlag: Cambridge University Press, 2003
ISBN 10: 0521592712 ISBN 13: 9780521592710
Anbieter: Books From California, Simi Valley, CA, USA
Hardcover. Zustand: Very Good. The binding shows minor marks and dents, but the copy is in otherwise clean condition.
Sprache: Englisch
Verlag: Cambridge University Press, 2003
ISBN 10: 0521592712 ISBN 13: 9780521592710
Anbieter: Buchkanzlei, Bremen, Deutschland
Hardcover. Zustand: 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.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 197,54
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 1st edition. 753 pages. 10.25x7.25x1.50 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2003
ISBN 10: 0521592712 ISBN 13: 9780521592710
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.