Sprache: Englisch
Verlag: Wiley & Sons, Incorporated, John, 1988
ISBN 10: 0471822167 ISBN 13: 9780471822165
Anbieter: Better World Books, Mishawaka, IN, USA
Erstausgabe
Zustand: Good. 1st Edition. Used book that is in clean, average condition without any missing pages.
Sprache: Englisch
Verlag: Wiley & Sons, Incorporated, John, 1988
ISBN 10: 0471822167 ISBN 13: 9780471822165
Anbieter: Better World Books, Mishawaka, IN, USA
Erstausgabe
Zustand: Very Good. 1st Edition. Used book that is in excellent condition. May show signs of wear or have minor defects.
Sprache: Englisch
Verlag: Wiley & Sons, Incorporated, John, 1988
ISBN 10: 0471822167 ISBN 13: 9780471822165
Anbieter: Better World Books, Mishawaka, IN, USA
Erstausgabe
Zustand: Very Good. 1st Edition. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects.
Sprache: Englisch
Verlag: Wiley & Sons, Incorporated, John, 1988
ISBN 10: 0471822167 ISBN 13: 9780471822165
Anbieter: Better World Books Ltd, Dunfermline, Vereinigtes Königreich
Erstausgabe
EUR 22,89
Anzahl: 1 verfügbar
In den WarenkorbZustand: Good. 1st Edition. Ships from the UK. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.
Hardcover. 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 CHA 9780470316764 Sprache: Englisch Gewicht in Gramm: 1150.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 343,33
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 1st edition. 315 pages. 9.00x6.00x0.75 inches. In Stock.
Buch. Zustand: Neu. Neuware - Treats linear regression diagnostics as a tool for application of linear regression models to real-life data. Presentation makes extensive use of examples to illustrate theory. Assesses the effect of measurement errors on the estimated coefficients, which is not accounted for in a standard least squares estimate but is important where regression coefficients are used to apportion effects due to different variables. Also assesses qualitatively and numerically the robustness of the regression fit.