Isbn: 9780387985985 - fitting linear relationships: a history of the calculus of observations 1750–1900 (springer series in statistics) (5 Ergebnisse)

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  • Sprache: Englisch

    Verlag: s-Gravenhage, Mouton & Co. 1962, 1998

    0387985980 / 9780387985985

    Serie: Buch 42 von 160 - Springer Series in Statistics

    • Hardcover

    Anbieter: Antiquariaat Schot, Hendrik-Ido-Ambacht, NiederlandeAntiquariaat Schot

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    Original publisher's blue cloth hardback, gilt title spine, large 8vo: 272pp., [ij], tables, graphs., bibliography, index. Fine copy. Volume 9: Janua Linguarum - Series Maior.

  • Sprache: Englisch

    Verlag: Springer, 1998

    0387985980 / 9780387985985

    Serie: Buch 42 von 160 - Springer Series in Statistics

    • Hardcover

    Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections

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    Zustand: Neu

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    Zustand: New. In English.

  • Sprache: Englisch

    Verlag: Springer, 1998

    0387985980 / 9780387985985

    Serie: Buch 42 von 160 - Springer Series in Statistics

    • Hardcover

    Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH

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    Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is intended for students of mathematical statistics who are interested in the early history of their subject. It gives detailed algebraic descriptions of the fitting of linear relationships by the method of least squares (L ) and the related least absolute 2 deviations (L ) and minimax absolute deviations (Loo) procedures. These traditional line J fitting procedures are, of course, also addressed in conventional statistical textbooks, but the discussion of their historical background is usually extremely slight, if not entirely absent. The present book complements the analysis of these procedures given in S.M. Stigler'S excellent work The History of Statistics: The Quantification of Uncertainty before 1900. However, the present book gives a more detailed account of the algebraic structure underlying these traditional fitting procedures. It is anticipated that readers of the present book will obtain a clear understanding of the historical background to these and other commonly used statistical procedures. Further, a careful consideration of the wide variety of distinct approaches to a particular topic, such as the method of least squares, will give the reader valuable insights into the essential nature of the selected topic.…

  • Sprache: Englisch

    Verlag: Springer, 1998

    0387985980 / 9780387985985

    Serie: Buch 42 von 160 - Springer Series in Statistics

    • Hardcover

    Anbieter: Majestic Books, Hounslow, Vereinigtes KönigreichMajestic Books

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    Zustand: Neu

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    Zustand: New. pp. 292 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.

  • Sprache: Englisch

    Verlag: Springer New York, 1998

    0387985980 / 9780387985985

    Serie: Buch 42 von 160 - Springer Series in Statistics

    • Hardcover

    Anbieter: Buchpark, Trebbin, DeutschlandBuchpark

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    Zustand: Gebraucht - Gut

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    Zustand: Gut. Zustand: Gut | Seiten: 292 | Sprache: Englisch | Produktart: Bücher | This book is intended for students of mathematical statistics who are interested in the early history of their subject. It gives detailed algebraic descriptions of the fitting of linear relationships by the method of least squares (L ) and the related least absolute 2 deviations (L ) and minimax absolute deviations (Loo) procedures. These traditional line J fitting procedures are, of course, also addressed in conventional statistical textbooks, but the discussion of their historical background is usually extremely slight, if not entirely absent. The present book complements the analysis of these procedures given in S.M. Stigler'S excellent work The History of Statistics: The Quantification of Uncertainty before 1900. However, the present book gives a more detailed account of the algebraic structure underlying these traditional fitting procedures. It is anticipated that readers of the present book will obtain a clear understanding of the historical background to these and other commonly used statistical procedures. Further, a careful consideration of the wide variety of distinct approaches to a particular topic, such as the method of least squares, will give the reader valuable insights into the essential nature of the selected topic.…