Sprache: Englisch
Verlag: Cambridge University Press, 2018
ISBN 10: 1108461131 ISBN 13: 9781108461139
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In den WarenkorbPaperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Sprache: Englisch
Verlag: Cambridge University Press, 2018
ISBN 10: 1108461131 ISBN 13: 9781108461139
Anbieter: Friends of the Multnomah County Library, Portland, OR, USA
Soft cover. Zustand: Very Good. Light shelf wear. Binding tight. All pages intact and free of marks.
Sprache: Englisch
Verlag: Cambridge University Press, 2018
ISBN 10: 1108461131 ISBN 13: 9781108461139
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: 1108461131 ISBN 13: 9781108461139
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Cambridge University Press, 2018
ISBN 10: 1108461131 ISBN 13: 9781108461139
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: Brand New. 1st reprint edition. 270 pages. 8.90x5.98x0.55 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2018
ISBN 10: 1108461131 ISBN 13: 9781108461139
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. 2018. Reprint. Paperback. . . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: Cambridge University Press, 2018
ISBN 10: 1108461131 ISBN 13: 9781108461139
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Interest in the skew-normal and related families of distributions has grown enormously over recent years, as theory has advanced, challenges of data have grown, and computational tools have made substantial progress. This comprehensive treatment, blending theory and practice, will be the standard resource for statisticians and applied researchers. Assuming only basic knowledge of (non-measure-theoretic) probability and statistical inference, the book is accessible to the wide range of researchers who use statistical modelling techniques. Guiding readers through the main concepts and results, it covers both the probability and the statistics sides of the subject, in the univariate and multivariate settings. The theoretical development is complemented by numerous illustrations and applications to a range of fields including quantitative finance, medical statistics, environmental risk studies, and industrial and business efficiency. The author's freely available R package sn, available from CRAN, equips readers to put the methods into action with their own data.