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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Condizione: New.
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EUR 65,20
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 58,22
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
EUR 60,23
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Oxford University Press, Oxford, 2022
ISBN 10: 0198862520 ISBN 13: 9780198862529
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. Random process analysis (RPA) is used as a mathematical model in physics, chemistry, biology, computer science, information theory, economics, environmental science, and many other disciplines. Over time, it has become more and more important for the provision of computer code and data sets. This book presents the key concepts, theory, and computer code written in R, helping readers with limited initial knowledge of random processes to become confident in their understanding and application of these principles in their own research. Consistent with modern trends in university education, the authors make readers active learners with hands-on computer experiments in R code directing them through RPA methods and helping them understand the underlying logic.Each subject is illustrated with real data collected in experiments performed by the authors or taken from key literature. As a result, the reader can promptly apply the analysis to their own data, making this book an invaluable resource for undergraduate and graduate students, as well as professionals, in physics, engineering, biophysical and environmental sciences, economics, and social sciences. This book presents the key concepts, theory, and computer code written in R, helping readers with limited initial knowledge of random processes to become confident in their understanding and application of these principles in their own research. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
EUR 60,49
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Aggiungi al carrelloPaperback. Condizione: Brand New. 400 pages. 10.00x7.00x1.00 inches. In Stock.
EUR 58,21
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EUR 65,13
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
EUR 65,42
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Da: UK BOOKS STORE, London, LONDO, Regno Unito
EUR 96,10
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Aggiungi al carrelloPaperback. Condizione: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-12 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
EUR 96,54
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Aggiungi al carrelloPaperback. Condizione: Brand New. 400 pages. 10.00x7.00x1.00 inches. In Stock.
EUR 72,82
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Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. Über den AutorMarco Bittelli received a degree in Agricultural Sciences from the University of Bologna, Italy, in 1994 and an M.S. and a Ph.D. in Soil Physics from Washington State University, USA, in 2001. He teaches Soil and Envir.
Lingua: Inglese
Editore: Oxford University Press Jan 2023, 2023
ISBN 10: 0198862520 ISBN 13: 9780198862529
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 98,16
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - Random process analysis (RPA) is used as a mathematical model in physics, chemistry, biology, computer science, information theory, economics, environmental science, and many other disciplines. Over time, it has become more and more important for the provision of computer code and data sets. This book presents the key concepts, theory, and computer code written in R, helping readers with limited initial knowledge of random processes to become confident in their understanding and application of these principles in their own research. Consistent with modern trends in university education, the authors make readers active learners with hands-on computer experiments in R code directing them through RPA methods and helping them understand the underlying logic. Each subject is illustrated with real data collected in experiments performed by the authors or taken from key literature. As a result, the reader can promptly apply the analysis to their own data, making this book an invaluable resource for undergraduate and graduate students, as well as professionals, in physics, engineering, biophysical and environmental sciences, economics, and social sciences.