Sprache: Englisch
Verlag: Cambridge University Press (edition 1), 2018
ISBN 10: 1107190940 ISBN 13: 9781107190948
Anbieter: BooksRun, Philadelphia, PA, USA
Hardcover. Zustand: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Sprache: Englisch
Verlag: Cambridge University Press, 2018
ISBN 10: 1107190940 ISBN 13: 9781107190948
Anbieter: Books From California, Simi Valley, CA, USA
hardcover. Zustand: Very Good. Cover and edges may have some wear.
Sprache: Englisch
Verlag: Cambridge University Press, 2018
ISBN 10: 1107190940 ISBN 13: 9781107190948
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Sprache: Englisch
Verlag: Cambridge University Press, 2018
ISBN 10: 1107190940 ISBN 13: 9781107190948
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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Sprache: Englisch
Verlag: Cambridge University Press, 2018
ISBN 10: 1107190940 ISBN 13: 9781107190948
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In den WarenkorbHardcover. Zustand: Brand New. 1st edition. 527 pages. 9.00x6.25x1.00 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2018
ISBN 10: 1107190940 ISBN 13: 9781107190948
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book builds a much-needed bridge between biostatistics and organismal biology by linking the arithmetic of statistical studies of organismal form to the biological inferences that may follow from it. It incorporates a cascade of new explanations of regression, correlation, covariance analysis, and principal components analysis, before applying these techniques to an increasingly common data resource: the description of organismal forms by sets of landmark point configurations. For each data set, multiple analyses are interpreted and compared for insight into the relation between the arithmetic of the measurements and the rhetoric of the subsequent biological explanations. The text includes examples that range broadly over growth, evolution, and disease. For graduate students and researchers alike, this book offers a unique consideration of the scientific context surrounding the analysis of form in today's biosciences.