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Hardcover. Condition: Brand New. 32 pages. 9.00x9.00x0.70 inches. In Stock.
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Language: English
Published by JayHenge Publishing KB, 2024
ISBN 10: 9198907697 ISBN 13: 9789198907698
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Hardcover. Condition: Brand New. 32 pages. 9.00x9.00x0.70 inches. In Stock.
Language: English
Published by Cambridge University Press, 2017
ISBN 10: 1107133084 ISBN 13: 9781107133082
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Language: English
Published by Amazon Digital Services LLC - Kdp, 2024
ISBN 10: 9198907697 ISBN 13: 9789198907698
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Taschenbuch. Condition: Neu. Neuware - This planet (and surely others like it) are mostly covered in water, and while we know a bit about life there, what mysteries might still lie far down within its depths Join us as we explore the depths, discover lost civilizations, and carry you away to fantastical underwater domains.
Language: English
Published by Cambridge University Press, 2017
ISBN 10: 1107133084 ISBN 13: 9781107133082
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Published by Cambridge University Press, 2017
ISBN 10: 1107133084 ISBN 13: 9781107133082
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Published by Cambridge University Press, 2017
ISBN 10: 1107133084 ISBN 13: 9781107133082
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Published by Cambridge University Press, 2017
ISBN 10: 1107133084 ISBN 13: 9781107133082
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Published by Cambridge University Press, 2017
ISBN 10: 1107133084 ISBN 13: 9781107133082
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Published by Cambridge University Press, 2017
ISBN 10: 1107133084 ISBN 13: 9781107133082
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ISBN 10: 9198907697 ISBN 13: 9789198907698
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Hardcover. Condition: Brand New. 424 pages. 10.00x7.75x1.00 inches. In Stock.
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Published by CRC Press 2005-11-01, 2005
ISBN 10: 0824724496 ISBN 13: 9780824724498
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Published by Amazon Digital Services LLC - Kdp, 2024
ISBN 10: 9198907697 ISBN 13: 9789198907698
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Hardcover. Condition: Brand New. 424 pages. 10.00x7.75x1.00 inches. In Stock. This item is printed on demand.
Language: English
Published by Cambridge University Press, 2019
ISBN 10: 1107133084 ISBN 13: 9781107133082
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This comprehensive guide to Bayesian methods in astronomy enables hands-on work by supplying complete R, JAGS, Python, and Stan code, to use directly or to adapt. A must-have for astronomers, its concrete focus on modeling, analysis, and interpretation will.