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9780387740737 - Model Based Inference in the Life Sciences: a Primer on Evidence by Anderson, David R (16 results)
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Model Based Inference in the Life Sciences: A Primer on Evidence
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Seller rating 5 out of 5 stars
Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
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paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Model Based Inference in the Life Sciences: A Primer on Evidence
Seller: Books From California, Simi Valley, CA, U.S.A.
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Model Based Inference in the Life Sciences: A Primer on Evidence
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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£ 59.30
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Model Based Inference in the Life Sciences : A Primer on Evidence
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Model Based Inference in the Life Sciences : A Primer on Evidence
Language: English
Published by Springer New York Dez 2007, 2007
ISBN 10: 0387740732 ISBN 13: 9780387740737
Taschenbuch. Condition: Neu. Neuware - The abstract concept of 'information' can be quantified and this has led to many important advances in the analysis of data in the empirical sciences. This text focuses on a science philosophy based on 'multiple working hypotheses' and statistical models to represent them. The fundamental science question relates to the empirical evidence for hypotheses in this set-a formal strength of evidence. Kullback-Leibler information is the information lost when a model is used to approximate full reality. Hirotugu Akaike found a link between K-L information (a cornerstone of information theory) and the maximized log-likelihood (a cornerstone of mathematical statistics). This combination has become the basis for a new paradigm in model based inference. The text advocates formal inference from all the hypotheses/models in the a priori set-multimodel inference.This compelling approach allows a simple ranking of the science hypothesis and their models. Simple methods are introduced for computing the likelihood of model i, given the data; the probability of model i, given the data; and evidence ratios. These quantities represent a formal strength of evidence and are easy to compute and understand, given the estimated model parameters and associated quantities (e.g., residual sum of squares, maximized log-likelihood, and covariance matrices). Additional forms of multimodel inference include model averaging, unconditional variances, and ways to rank the relative importance of predictor variables.This textbook is written for people new to the information-theoretic approaches to statistical inference, whether graduate students, post-docs, or professionals in various universities, agencies or institutes. Readers are expected to have a background in general statistical principles, regression analysis, and some exposure to likelihood methods. This is not an elementary text as it assumes reasonable competence in modeling and parameterestimation.
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Model Based Inference in the Life Sciences : A Primer on Evidence
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 135.99
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Paperback. Condition: Like New. Like New. book.
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Condition: As New. Unread book in perfect condition.
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Model Based Inference in the Life Sciences: A Primer on Evidence
Language: English
Published by Springer-Verlag New York Inc., 2007
ISBN 10: 0387740732 ISBN 13: 9780387740737
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 70.67
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
