Verlag: Springer, New York, NY, 1984
ISBN 10: 354096004X ISBN 13: 9783540960041
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In den WarenkorbCloth. Zustand: Near Fine. Zustand des Schutzumschlags: No Dust Jacket. 718 pp. Tightly bound. Corners not bumped. Text is Free of Markings. PLEASE NOTE: This copy has blue cloth boards with gilt lettering on the front board and spine.
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In den WarenkorbHard Cover. Zustand: Very Good. No Jacket. A clean, unmarked book with a tight binding. Light wear and spot on cover. 334 pages. Keywords: Cornell University, Decision Theory, Hypothesis Testing, Confidence Intervals, Parameter Estimation, Mathematical Statistics, Probability Theory, Lecture Notes, Textbook Course, Statistical Methods, Data Analysis, Inferential Stats.
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Verlag: Springer-Verlag New York Inc., New York, NY, 2011
ISBN 10: 1461395801 ISBN 13: 9781461395805
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: new. Paperback. This book is based upon lecture notes developed by Jack Kiefer for a course in statistical inference he taught at Cornell University. The notes were distributed to the class in lieu of a textbook, and the problems were used for homework assignments. Relying only on modest prerequisites of probability theory and cal culus, Kiefer's approach to a first course in statistics is to present the central ideas of the modem mathematical theory with a minimum of fuss and formality. He is able to do this by using a rich mixture of examples, pictures, and math ematical derivations to complement a clear and logical discussion of the important ideas in plain English. The straightforwardness of Kiefer's presentation is remarkable in view of the sophistication and depth of his examination of the major theme: How should an intelligent person formulate a statistical problem and choose a statistical procedure to apply to it? Kiefer's view, in the same spirit as Neyman and Wald, is that one should try to assess the consequences of a statistical choice in some quan titative (frequentist) formulation and ought to choose a course of action that is verifiably optimal (or nearly so) without regard to the perceived "attractiveness" of certain dogmas and methods. This book is based upon lecture notes developed by Jack Kiefer for a course in statistical inference he taught at Cornell University. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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In den WarenkorbZustand: New. pp. 1092.
Verlag: Springer Berlin, 12.1987., 1987
ISBN 10: 3540964207 ISBN 13: 9783540964209
Sprache: Englisch
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In den Warenkorbhardcover, Leinen. 334 Seiten Einband mit leichten Lagerspuren, sonst sehr gut erhalten. Sieht ungelesen aus. Sprache: Englisch Gewicht in Gramm: 625.
Verlag: Gilberton, 1950
Sprache: Englisch
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In den WarenkorbSoft cover. Zustand: See Description. Henry C. Kiefer, Arnold L. Hicks (illustrator). 1st Edition. Gilberton Comic Classics Illustrated #29 The Prince and the Pauper by Mark Twain February 15 1950 HRN 67 7.0 - Only Canadian Edition! Fine/Very Fine 7.0 condition [Unofficial Grading - see pics] Bagged and boarded. Line Drawn Cover = Henry C. Kiefer Interior Art = Arnold L. Hicks Adaptation = Scott Feldman, Jack Bass.
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In den WarenkorbTaschenbuch. Zustand: Neu. Introduction to Statistical Inference | Jack C. Kiefer | Taschenbuch | viii | Englisch | 2011 | Springer | EAN 9781461395805 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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In den WarenkorbTaschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is based upon lecture notes developed by Jack Kiefer for a course in statistical inference he taught at Cornell University. The notes were distributed to the class in lieu of a textbook, and the problems were used for homework assignments. Relying only on modest prerequisites of probability theory and cal culus, Kiefer's approach to a first course in statistics is to present the central ideas of the modem mathematical theory with a minimum of fuss and formality. He is able to do this by using a rich mixture of examples, pictures, and math ematical derivations to complement a clear and logical discussion of the important ideas in plain English. The straightforwardness of Kiefer's presentation is remarkable in view of the sophistication and depth of his examination of the major theme: How should an intelligent person formulate a statistical problem and choose a statistical procedure to apply to it Kiefer's view, in the same spirit as Neyman and Wald, is that one should try to assess the consequences of a statistical choice in some quan titative (frequentist) formulation and ought to choose a course of action that is verifiably optimal (or nearly so) without regard to the perceived 'attractiveness' of certain dogmas and methods.
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In den WarenkorbPaperback. Zustand: new. Paperback. This book is based upon lecture notes developed by Jack Kiefer for a course in statistical inference he taught at Cornell University. The notes were distributed to the class in lieu of a textbook, and the problems were used for homework assignments. Relying only on modest prerequisites of probability theory and cal culus, Kiefer's approach to a first course in statistics is to present the central ideas of the modem mathematical theory with a minimum of fuss and formality. He is able to do this by using a rich mixture of examples, pictures, and math ematical derivations to complement a clear and logical discussion of the important ideas in plain English. The straightforwardness of Kiefer's presentation is remarkable in view of the sophistication and depth of his examination of the major theme: How should an intelligent person formulate a statistical problem and choose a statistical procedure to apply to it? Kiefer's view, in the same spirit as Neyman and Wald, is that one should try to assess the consequences of a statistical choice in some quan titative (frequentist) formulation and ought to choose a course of action that is verifiably optimal (or nearly so) without regard to the perceived "attractiveness" of certain dogmas and methods. This book is based upon lecture notes developed by Jack Kiefer for a course in statistical inference he taught at Cornell University. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Verlag: Springer New York Dez 2011, 2011
ISBN 10: 1461395801 ISBN 13: 9781461395805
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In den WarenkorbTaschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is based upon lecture notes developed by Jack Kiefer for a course in statistical inference he taught at Cornell University. The notes were distributed to the class in lieu of a textbook, and the problems were used for homework assignments. Relying only on modest prerequisites of probability theory and cal culus, Kiefer's approach to a first course in statistics is to present the central ideas of the modem mathematical theory with a minimum of fuss and formality. He is able to do this by using a rich mixture of examples, pictures, and math ematical derivations to complement a clear and logical discussion of the important ideas in plain English. The straightforwardness of Kiefer's presentation is remarkable in view of the sophistication and depth of his examination of the major theme: How should an intelligent person formulate a statistical problem and choose a statistical procedure to apply to it Kiefer's view, in the same spirit as Neyman and Wald, is that one should try to assess the consequences of a statistical choice in some quan titative (frequentist) formulation and ought to choose a course of action that is verifiably optimal (or nearly so) without regard to the perceived 'attractiveness' of certain dogmas and methods. 348 pp. Englisch.
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ISBN 10: 1461395801 ISBN 13: 9781461395805
Sprache: Englisch
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In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book is based upon lecture notes developed by Jack Kiefer for a course in statistical inference he taught at Cornell University. The notes were distributed to the class in lieu of a textbook, and the problems were used for homework assignments. Relying.
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In den WarenkorbZustand: New. Print on Demand pp. 348 60 Figures, 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
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In den WarenkorbZustand: New. PRINT ON DEMAND pp. 348.
Verlag: Springer New York, Springer US Dez 2011, 2011
ISBN 10: 1461395801 ISBN 13: 9781461395805
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is based upon lecture notes developed by Jack Kiefer for a course in statistical inference he taught at Cornell University. The notes were distributed to the class in lieu of a textbook, and the problems were used for homework assignments. Relying only on modest prerequisites of probability theory and cal culus, Kiefer's approach to a first course in statistics is to present the central ideas of the modem mathematical theory with a minimum of fuss and formality. He is able to do this by using a rich mixture of examples, pictures, and math ematical derivations to complement a clear and logical discussion of the important ideas in plain English. The straightforwardness of Kiefer's presentation is remarkable in view of the sophistication and depth of his examination of the major theme: How should an intelligent person formulate a statistical problem and choose a statistical procedure to apply to it Kiefer's view, in the same spirit as Neyman and Wald, is that one should try to assess the consequences of a statistical choice in some quan titative (frequentist) formulation and ought to choose a course of action that is verifiably optimal (or nearly so) without regard to the perceived 'attractiveness' of certain dogmas and methods.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 348 pp. Englisch.