Sprache: Englisch
Verlag: Princeton University Press, 1999
ISBN 10: 0691005478 ISBN 13: 9780691005478
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Sprache: Englisch
Verlag: Princeton University Press, 1999
ISBN 10: 0691005478 ISBN 13: 9780691005478
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Sprache: Englisch
Verlag: Princeton University Press, 1999
ISBN 10: 0691005478 ISBN 13: 9780691005478
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Sprache: Englisch
Verlag: Princeton University Press, 1999
ISBN 10: 0691005478 ISBN 13: 9780691005478
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Sprache: Englisch
Verlag: Princeton University Press, 1999
ISBN 10: 0691005478 ISBN 13: 9780691005478
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Sprache: Englisch
Verlag: Princeton University Press, 1999
ISBN 10: 0691005478 ISBN 13: 9780691005478
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Sprache: Englisch
Verlag: Princeton University Press, 1999
ISBN 10: 0691005478 ISBN 13: 9780691005478
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Sprache: Englisch
Verlag: Princeton University Press, 1999
ISBN 10: 0691005478 ISBN 13: 9780691005478
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Sprache: Englisch
Verlag: Princeton University Press, 1999
ISBN 10: 0691005478 ISBN 13: 9780691005478
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Sprache: Englisch
Verlag: Princeton University Press, 1999
ISBN 10: 0691005478 ISBN 13: 9780691005478
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Sprache: Englisch
Verlag: Princeton University Press, 1999
ISBN 10: 0691005478 ISBN 13: 9780691005478
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Sprache: Englisch
Verlag: Princeton University Press, 1999
ISBN 10: 0691005478 ISBN 13: 9780691005478
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Sprache: Englisch
Verlag: Princeton University Press, US, 1999
ISBN 10: 0691005478 ISBN 13: 9780691005478
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Paperback. Zustand: New. Revised ed. In this classic of statistical mathematical theory, Harald Cramer joins the two major lines of development in the field: while British and American statisticians were developing the science of statistical inference, French and Russian probabilitists transformed the classical calculus of probability into a rigorous and pure mathematical theory. The result of Cramer's work is a masterly exposition of the mathematical methods of modern statistics that set the standard that others have since sought to follow. For anyone with a working knowledge of undergraduate mathematics the book is self contained. The first part is an introduction to the fundamental concept of a distribution and of integration with respect to a distribution. The second part contains the general theory of random variables and probability distributions while the third is devoted to the theory of sampling, statistical estimation, and tests of significance.
Sprache: Englisch
Verlag: Princeton University Press, 1999
ISBN 10: 0691005478 ISBN 13: 9780691005478
Anbieter: GreatBookPrices, Columbia, MD, USA
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Sprache: Englisch
Verlag: Princeton University Press, 1999
ISBN 10: 0691005478 ISBN 13: 9780691005478
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Sprache: Englisch
Verlag: Princeton University Press, 1999
ISBN 10: 0691005478 ISBN 13: 9780691005478
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Sprache: Englisch
Verlag: Princeton University Press, US, 1999
ISBN 10: 0691005478 ISBN 13: 9780691005478
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In den WarenkorbPaperback. Zustand: New. Revised ed. In this classic of statistical mathematical theory, Harald Cramer joins the two major lines of development in the field: while British and American statisticians were developing the science of statistical inference, French and Russian probabilitists transformed the classical calculus of probability into a rigorous and pure mathematical theory. The result of Cramer's work is a masterly exposition of the mathematical methods of modern statistics that set the standard that others have since sought to follow. For anyone with a working knowledge of undergraduate mathematics the book is self contained. The first part is an introduction to the fundamental concept of a distribution and of integration with respect to a distribution. The second part contains the general theory of random variables and probability distributions while the third is devoted to the theory of sampling, statistical estimation, and tests of significance.
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In den WarenkorbPaperback. Zustand: Brand New. 575 pages. 9.75x6.25x1.25 inches. In Stock.
Sprache: Englisch
Verlag: Princeton University Press, 1999
ISBN 10: 0691005478 ISBN 13: 9780691005478
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In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presenting a statistical mathematical theory, this work joins the two major lines of development in the field: while British and American statisticians were developing the science of statistical inference, French and Russian probabilitists transformed the c.
Sprache: Englisch
Verlag: Princeton University Press, 1999
ISBN 10: 0691005478 ISBN 13: 9780691005478
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Mathematical Methods of Statistics | Harald Cramér | Taschenbuch | Einband - flex.(Paperback) | Englisch | 1999 | Princeton University Press | EAN 9780691005478 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Sprache: Englisch
Verlag: Princeton University Press, 1999
ISBN 10: 0691005478 ISBN 13: 9780691005478
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Harald Cramér's classic synthesis of statistical mathematical theoryan invaluable resource for students and practitioners alikeIn the 1930s, as British and American statisticians were developing the science of statistical inference, French and Russian probabilitists transformed the classical calculus of probability into a rigorous and pure mathematical theory. In this incisive and authoritative book, Harald Cramér unites these two major lines of development, providing a masterly exposition of the mathematical methods of modern statistics that set the standard in the field still followed today.Requiring only a working knowledge of undergraduate mathematics, this self-contained book begins with an introduction to the fundamental concept of a distribution and of integration with respect to a distribution. It goes on to discuss the general theory of random variables and probability distributions, the theory of sampling, statistical estimation, and tests of significance.Blending lucid and accessible writing with mathematical rigor, Mathematical Methods of Statistics belongs on the shelf of anyone interested in statistical methods and remains the standard reference on the subject today.