Publicado por New York Berlin , Springer, 1987
ISBN 10: 0387964207 ISBN 13: 9780387964201
Idioma: Inglés
Librería: Antiquariat Bookfarm, Löbnitz, Alemania
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Añadir al carritoHardcover. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 62 KIE 9780387964201 Sprache: Englisch Gewicht in Gramm: 1150.
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Añadir al carritoHardcover. Condición: Sehr gut. Ed. by Gary Lorden. N.Y., Springer (1987). 60 figs. VIII, 334 p. Hardbound. Springer Texts in Statistics.- With problems.- 20 pages with pencil underlinings, otherwise in very good condition.
Publicado por Springer-Verlag New York, Incorporated, 1987
ISBN 10: 0387964207 ISBN 13: 9780387964201
Idioma: Inglés
Librería: Village Works, New York, NY, Estados Unidos de America
Original o primera edición
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Añadir al carritoHardcover. Condición: Very Good. 1st Edition.
Publicado por Springer-Verlag, New York, 1987
Idioma: Inglés
Librería: Small World Books, Rochester, NY, Estados Unidos de America
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Añadir al carritoHardcover. Condición: Very Good. Clean, bright and tightly-bound. Unmarked.
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Añadir al carritoPaperback. Condición: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less 1.07.
Publicado por Springer Berlin, 12.1987., 1987
ISBN 10: 3540964207 ISBN 13: 9783540964209
Idioma: Inglés
Librería: Die Wortfreunde - Antiquariat Wirthwein Matthias Wirthwein, Mannheim, Alemania
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Añadir al carritohardcover, Leinen. 334 Seiten Einband mit leichten Lagerspuren, sonst sehr gut erhalten. Sieht ungelesen aus. Sprache: Englisch Gewicht in Gramm: 625.
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Añadir al carritoHard Cover. Condición: 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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Añadir al carritosoftcover. Condición: very good. no jacket. Covers faintly scratched. Near fine otherwise.
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Añadir al carritoTaschenbuch. Condición: 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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Añadir al carritoCondición: very_good. Cover may have light wear, pages in very good condition and binding is sturdy; may have other light shelf wear or creases. May have notes or highlighting.
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Añadir al carritoPaperback. Condición: Brand New. reprint edition. 334 pages. 9.50x6.25x0.75 inches. In Stock.
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Publicado por Springer-Verlag New York Inc., New York, NY, 2011
ISBN 10: 1461395801 ISBN 13: 9781461395805
Idioma: Inglés
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Añadir al carritoPaperback. Condición: 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.
Publicado por Springer-Verlag New York Inc., New York, NY, 2011
ISBN 10: 1461395801 ISBN 13: 9781461395805
Idioma: Inglés
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Añadir al carritoPaperback. Condición: 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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Añadir al carritoCondición: 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.
Publicado por Springer New York Dez 2011, 2011
ISBN 10: 1461395801 ISBN 13: 9781461395805
Idioma: Inglés
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Añadir al carritoTaschenbuch. Condición: 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.
Publicado por Springer-Verlag New York Inc., 2011
ISBN 10: 1461395801 ISBN 13: 9781461395805
Idioma: Inglés
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Añadir al carritoPaperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 519.
Publicado por Springer New York, Springer US Dez 2011, 2011
ISBN 10: 1461395801 ISBN 13: 9781461395805
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Añadir al carritoTaschenbuch. Condición: 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.
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Añadir al carritoCondición: 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.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 348.