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Statistical Computing Nuclear Imaging by Sitek Arkadiusz (30 results)
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Condition: New.
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Statistical Computing in Nuclear Imaging.
Published by CRC Press, Boca Raton, FL, 2015
ISBN 10: 143984934X ISBN 13: 9781439849347
Language: English
Hardback. Condition: As new. xxiv + 251 pp. Series in Medical Physics and Biomedical Engineering. book.
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Condition: As New. Unread book in perfect condition.
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Statistical Computing in Nuclear Imaging
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Statistical Computing in Nuclear Imaging
Published by Taylor & Francis Ltd, 2021
ISBN 10: 0367783630 ISBN 13: 9780367783631
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 185.
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Statistical Computing in Nuclear Imaging
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Statistical Computing in Nuclear Imaging (Series in Medical Physics and Biomedical Engineering)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 78.78
US$ 15.76 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
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Statistical Computing in Nuclear Imaging
Published by Taylor & Francis Group, 2014
ISBN 10: 143984934X ISBN 13: 9781439849347
Language: English
Condition: New. pp. 279.
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Statistical Computing in Nuclear Imaging
Published by Taylor & Francis Group, 2014
ISBN 10: 143984934X ISBN 13: 9781439849347
Language: English
Condition: New. pp. 279.
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Paperback. Condition: Brand New. 1st edition. 251 pages. 9.00x6.00x0.75 inches. In Stock.
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Statistical Computing in Nuclear Imaging
Published by Taylor & Francis Group, 2014
ISBN 10: 143984934X ISBN 13: 9781439849347
Language: English
Condition: New. pp. 279.
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Condition: New.
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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Statistical Computing in Nuclear Imaging
Published by Taylor and Francis Inc, 2014
ISBN 10: 143984934X ISBN 13: 9781439849347
Language: English
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Condition: As New. Unread book in perfect condition.
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Statistical Computing in Nuclear Imaging
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Statistical Computing in Nuclear Imaging
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
-
Statistical Computing in Nuclear Imaging
Published by Taylor & Francis Inc, 2014
ISBN 10: 143984934X ISBN 13: 9781439849347
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. New copy - Usually dispatched within 4 working days. 580.
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Gebunden. Condition: New. Arkadiusz Sitek is an associate physicist at Massachusetts General Hospital in Boston and an assistant professor at Harvard Medical School. He received his doctorate from the University of British Columbia in Canada and since 2001 has wo.
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Buch. Condition: Neu. Neuware - This book is highly focused on computational aspects of Bayesian data analysis of photon-limited data acquired in tomographic measurements in nuclear imaging. Basic Bayesian statistical concepts, elements of Bayesian decision theory, and counting statistics are discussed in the first chapters. Monte Carlo methods and Markov chains in posterior analysis are discussed next along with an introduction to nuclear imaging and applications such as PET and SPECT. The final chapter includes illustrative examples of statistical computing based on Poisson-multinomial statistics. Examples include calculation of Bayes factors and risks, and Bayesian decision making and hypothesis testing. C++ code used in the final chapter is also provided.
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Statistical Computing in Nuclear Imaging
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Arkadiusz Sitek is an associate physicist at Massachusetts General Hospital in Boston and an assistant professor at Harvard Medical School. He received his doctorate from the University of British Columbia in Canada and since 2001 has wo.
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Taschenbuch. Condition: Neu. Statistical Computing in Nuclear Imaging | Arkadiusz Sitek | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2021 | CRC Press | EAN 9780367783631 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Statistical Computing in Nuclear Imaging introduces aspects of Bayesian computing in nuclear imaging. The book provides an introduction to Bayesian statistics and concepts and is highly focused on the computational aspects of Bayesian data analysis of photon-limited data acquired in tomographic measurements.Basic statistical concepts, elements of decision theory, and counting statistics, including models of photon-limited data and Poisson approximations, are discussed in the first chapters. Monte Carlo methods and Markov chains in posterior analysis are discussed next along with an introduction to nuclear imaging and applications such as PET and SPECT.The final chapter includes illustrative examples of statistical computing, based on Poisson-multinomial statistics. Examples include calculation of Bayes factors and risks as well as Bayesian decision making and hypothesis testing. Appendices cover probability distributions, elements of set theory, multinomial distribution of single-voxel imaging, and derivations of sampling distribution ratios. C++ code used in the final chapter is also provided.The text can be used as a textbook that provides an introduction to Bayesian statistics and advanced computing in medical imaging for physicists, mathematicians, engineers, and computer scientists. It is also a valuable resource for a wide spectrum of practitioners of nuclear imaging data analysis, including seasoned scientists and researchers who have not been exposed to Bayesian paradigms.
