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Design and Analysis Methods for Fish Survival Experiments Based on Release-Recapture
Language: English
Published by American Fisheries Society, 1987
ISBN 10: 0913235415 ISBN 13: 9780913235416
Hardcover. Condition: Near Fine. Blue clothbound without a dustjacket. Entire book is very clean and crisp, square at the edges, and tightly bound. American Fisheries Society Monograph #5.
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TESTS OF COMPENSATORY VS. ADDITIVE HYPOTHESES OF MORTALITY IN MALLARDS
Published by Ecology, 1984
Magazine / Periodical
Pamphlet. Condition: Very Good. Vol 65, No 1, pp. 105-112, 4to, Extracted from orig vol, thus begins with title page, trimmed & stapled pamphlet, else VG.
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ESTIMATION OF DENSITY FROM LINE TRANSECT SAMPLING OF BIOLOGICAL POPULATIONS
Published by Unknown
Seller: The Book Bin, Salem, OR, U.S.A.
Association Member: ABAA CBA ILAB
Seller rating 5 out of 5 stars
Paperback. Condition: Very Good. > Edition/Printing: No. 72; April, 1980 | Illus. Very Good in card wraps. Book is wavy. Inside is clean/unmarked. 201 pages. 8vo - over 7 3/4 in - 9 3/4 in tall. > Language: English | > Media/Binding: Card Wraps |.
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Capture-Recapture and Removal Methods for Sampling Closed Populations. Issued: August 1982
Published by Los Alamos National Laboratory, Los Alamos, Mexico, 1982
Seller: Between the Covers-Rare Books, Inc. ABAA, Gloucester City, NJ, U.S.A.
Association Member: ABAA ESA ILAB IOBA
Seller rating 5 out of 5 stars
First Edition
Softcover. Condition: Near Fine. First edition. Quarto. Wrappers. Edited by Betty Leffler. Tide marks on the lower foredge, very good. "The problem of estimating animal abundance is common in wildlife management. Capture-recapture methods are often used to estimate population size." Detailed capture-recapture methods and experiments that have proved successful.
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Hardcover. Condition: Fine. No Jacket. 2nd Edition. This is a fine hardcover second edition, 9th corrected printing, no DJ, blue/black spine. 488 pages with index.With previous owner's name.
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Condition: very_good. Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item for full refund. Ships USPS Media Mail.
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Hardcover. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
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Condition: acceptable. Fairly worn, but readable and intact. If applicable: Dust jacket, disc or access code may not be included.
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Condition: acceptable. Used - Acceptable: All pages and the cover are intact, but shrink wrap, dust covers, or boxed set case may be missing. Pages may include limited notes, highlighting, or minor water damage but the text is readable. Pages may include limited notes and highlighting, but the text cannot be obscured or unreadable. Any access codes or passwords originally included with the book may be expired, used or no longer valid. Image is stock photo and cover art edition may be different than pictured.
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Hardcover. Condition: New. No Jacket. 2nd Edition. This is a new hardcover second edition, third corrected printing, no DJ, blue/black spine. 488 pages with index.
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Hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
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Paperback. Condition: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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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 Selection and Multimodel Inference: A Practical Information-Theoretic Approach
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 4 out of 5 stars
paperback. Condition: Fine.
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Model Selection and Multi-model Inference: A Practical Information-theoretic Approach
Seller: The Berwyn Bookshop, BUCKLEY, FLINT, United Kingdom
Seller rating 4 out of 5 stars
Hardcover. Condition: Near Fine. 2nd Edition. A near fine condition hard cover. No inscription, clean, bright copy. 2003 Corrected printing. 488pp.
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Hardcover. Condition: New.
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Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 147.59
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Model Selection and Multimodel Inference : A Practical Information Theoretic Approach
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 147.58
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
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Hardcover. Condition: New.
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Condition: As New. Unread book in perfect condition.
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Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 157.11
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
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Model Selection and Multi-model Inference : A Practical Information-theoretic Approach
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 157.10
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Model Selection and Multimodel Inference : A Practical Information Theoretic Approach
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 166.62
£ 15 shipping
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Add to basketCondition: As New. Unread book in perfect condition.
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Model Selection and Multimodel Inference
Language: English
Published by Springer-Verlag New York Inc., US, 2002
ISBN 10: 0387953647 ISBN 13: 9780387953649
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. 2nd ed. 2002. This book is unique in that it covers the philosophy of model-based data analysis and a strategy for the analysis of empirical data. The book introduces information theoretic approaches and focuses critical attention on a priori modeling and the selection of a good approximating model that best represents the inference supported by the data. Kullback-Leibler Information represents a fundamental quantity in science and is Hirotugu Akaike's basis for model selection. The maximized log-likelihood function can be bias-corrected to provide an estimate of expected, relative Kullback-Leibler information. This leads to Akaike's Information Criterion (AIC) and various extensions. These are relatively simple and easy to use in practice. The information theoretic approaches provide a unified and rigorous theory, an extension of likelihood theory, an important application of information theory, and are objective and practical to employ across a very wide class of empirical problems.Model selection, under the information theoretic approach presented here, attempts to identify the (likely) best model, orders the models from best to worst, and measures the plausibility ("calibration") that each model is really the best as an inference. Model selection methods are extended to allow inference from more than a single "best" model. The book presents several new approaches to estimating model selection uncertainty and incorporating selection uncertainty into estimates of precision. An array of examples is given to illustrate various technical issues. This is an applied book written primarily for biologists and statisticians using models for making inferences from empirical data. People interested in the empirical sciences will find this material useful as it offers an alternative to hypothesis testing and Bayesian.
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Model Selection and Multimodel Inference
Language: English
Published by Springer-Verlag New York Inc., US, 2010
ISBN 10: 1441929738 ISBN 13: 9781441929730
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
£ 203.76
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback. Condition: New. Softcover reprint of the original 2nd ed. 2002.
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Condition: New. Includes supplementary material: sn.pub/extrasA unique and comprehensive text on the philosophy of model-based data analysis and strategy for the analysis of empirical data. The book introduces information theoretic approaches and focuses critica.
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Model Selection and Multimodel Inference
Language: English
Published by Springer-Verlag New York Inc., US, 2002
ISBN 10: 0387953647 ISBN 13: 9780387953649
Hardback. Condition: New. 2nd ed. 2002. This book is unique in that it covers the philosophy of model-based data analysis and a strategy for the analysis of empirical data. The book introduces information theoretic approaches and focuses critical attention on a priori modeling and the selection of a good approximating model that best represents the inference supported by the data. Kullback-Leibler Information represents a fundamental quantity in science and is Hirotugu Akaike's basis for model selection. The maximized log-likelihood function can be bias-corrected to provide an estimate of expected, relative Kullback-Leibler information. This leads to Akaike's Information Criterion (AIC) and various extensions. These are relatively simple and easy to use in practice. The information theoretic approaches provide a unified and rigorous theory, an extension of likelihood theory, an important application of information theory, and are objective and practical to employ across a very wide class of empirical problems.Model selection, under the information theoretic approach presented here, attempts to identify the (likely) best model, orders the models from best to worst, and measures the plausibility ("calibration") that each model is really the best as an inference. Model selection methods are extended to allow inference from more than a single "best" model. The book presents several new approaches to estimating model selection uncertainty and incorporating selection uncertainty into estimates of precision. An array of examples is given to illustrate various technical issues. This is an applied book written primarily for biologists and statisticians using models for making inferences from empirical data. People interested in the empirical sciences will find this material useful as it offers an alternative to hypothesis testing and Bayesian.
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Model Selection and Multimodel Inference
Language: English
Published by Springer-Verlag New York Inc., US, 2010
ISBN 10: 1441929738 ISBN 13: 9781441929730
£ 186.18
£ 65 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback. Condition: New. Softcover reprint of the original 2nd ed. 2002.
