Zustand: Good. Good condition. Good dust jacket. A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains.
Verlag: Wiley & Sons, Incorporated, John, 1991
ISBN 10: 0471887692 ISBN 13: 9780471887690
Sprache: Englisch
Anbieter: Better World Books, Mishawaka, IN, USA
Zustand: Good. Used book that is in clean, average condition without any missing pages.
Hardcover. Zustand: Good. 2. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.
Verlag: John Wiley & Sons, New York, 1991
ISBN 10: 0471887692 ISBN 13: 9780471887690
Anbieter: Attic Books (ABAC, ILAB), London, ON, Kanada
Cloth. Zustand: Fine. Wiley Series in Probability and Mathematical Statistics. xvii, 392 p. 24 cm. Numerous figures and tables. Cloth hardcover.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 131,42
Anzahl: 3 verfügbar
In den WarenkorbZustand: New. pp. 520.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 137,02
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 2nd edition. 520 pages. 10.50x7.50x1.25 inches. In Stock.
Anbieter: Kennys Bookstore, Olney, MD, USA
EUR 162,56
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. Statistical Intervals is a guide for practitioners and researchers--providing a detailed, comprehensive, modernized treatment of this important subject. With numerous examples, it presents and differentiates in an easy-to-apply manner the use of confidence intervals (e.g. Series: Wiley Series in Probability and Statistics. Num Pages: 648 pages. BIC Classification: PB; TG; THX; TJ. Category: (P) Professional & Vocational. Dimension: 250 x 150. . . 2017. 2nd. Hardcover. . . . . Books ship from the US and Ireland.
Buch. Zustand: Neu. Neuware - Describes statistical intervals to quantify sampling uncertainty, focusing on key application needs and recently developed methodology in an easy-to-apply format.