Edité par London, New York, Chapman and Hall, 1987
ISBN 10 : 0412284103 ISBN 13 : 9780412284106
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Ajouter au panier2,35 x 15,5 cm. Etat : Gut. 1. Auflage. 171 Seiten Softcover. Original Broschur. Kleiner Besitzvermerk auf dem Vorderdeckel unten. Bibliotheksexemplar mit den üblichen Bibliotheksstempeln und Einträgen. Sonst innen sauberer, sehr guter Zustand. - Paperback in good condition. Possession name on upper cover. Inside with the common library stamps and inscriptions. Otherwise very clean. B04-03-02D|A34 Altersfreigabe FSK ab 0 Jahre Sprache: Englisch Gewicht in Gramm: 300.
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Ajouter au panierTaschenbuch. Etat : Neu. Applied Statistics | A Handbook of BMDP(TM) Analyses | David Cox | Taschenbuch | ix | Englisch | 1986 | Springer Netherland | EAN 9780412284106 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Edité par Springer Netherlands, Springer Netherlands, 1986
ISBN 10 : 0412284103 ISBN 13 : 9780412284106
Langue: anglais
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This handbook is a realization of a long term goal of BMDP Statistical Software. As the software supporting statistical analysis has grown in breadth and depth to the point where it can serve many of the needs of accomplished statisticians it can also serve as an essential support to those needing to expand their knowledge of statistical applications. Statisticians should not be handicapped by heavy computation or by the lack of needed options. When Applied Statistics, Principle and Examples by Cox and Snell appeared we at BMDP were impressed with the scope of the applications discussed and felt that many statisticians eager to expand their capabilities in handling such problems could profit from having the solutions carried further, to get them started and guided to a more advanced level in problem solving. Who would be better to undertake that task than the authors of Applied Statistics A year or two later discussions with David Cox and Joyce Snell at Imperial College indicated that a wedding of the problem statements and suggested solutions with control language to accomplish these analyses would further the learning process for many statisticians. They were willing to undertake the project. Joyce Snell has done an excellent job of melding the two approaches and has carried many of the problems a step further by suggesting alternate approaches and follow-up analyses.