Sprache: Englisch
Verlag: Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Anbieter: Better World Books, Mishawaka, IN, USA
Zustand: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Sprache: Englisch
Verlag: Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Anbieter: Prior Books Ltd, Cheltenham, Vereinigtes Königreich
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EUR 53,61
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In den WarenkorbHardcover. Zustand: Like New. First Edition. Hardback book in nearly new condition: firm and square with strong joints. Just a few hardly noticeable rubs; hence a non-text page shows a small 'damaged' stamp. Despite such this book looks and feels unread. Thus the contents are crisp, fresh and tight. And so a very nice book in great condition, now offered for sale at a reasonable price.
Sprache: Englisch
Verlag: Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 110,54
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 163,44
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In den WarenkorbHardcover. Zustand: Brand New. 646 pages. 10.00x7.25x1.75 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Anbieter: Kennys Bookstore, Olney, MD, USA
EUR 208,62
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. Bayesian nonparametrics comes of age with this landmark text synthesizing theory, methodology and computation. Series: Cambridge Series in Statistical and Probabilistic Mathematics. Num Pages: 656 pages, 15 b/w illus. BIC Classification: PBT. Category: (U) Tertiary Education (US: College). Dimension: 253 x 177. . . 2017. Hardcover. . . . . Books ship from the US and Ireland.
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses a diverse set of topics of contemporary interest in statistics and data science such as biostatistics and machine learning. Each chapter provides an overview of the topic under discussion, so that any reader with an understanding of graduate-level statistics, but not necessarily with a prior background on the topic should be able to get a summary of developments in the field. These chapters serve as basic introductory references for new researchers in these fields, as well as the basis of teaching a course on the topic, or with a part of the course on topics of precision medicine, deep learning, high-dimensional central limit theorems, multivariate rank testing, R programming for statistics, Bayesian nonparametrics, large deviation asymptotics,spatio-temporal modeling of Covid-19, statistical network models,hidden Markov models, statistical record linkage analysis. The edited volume will be most useful for graduate students looking for an overview of any of the covered topics for their research and for instructors for developing certain courses by including any of the topics as part of the course. Students enrolled in a course covering any of the included topics can also benefit from these chapters.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 248,09
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 370 pages. 9.25x6.10x9.21 inches. In Stock.