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Condition: Very Good. 1 Edition. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Condition: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item for full refund. Ships via media mail.
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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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Using Arcgis Geostatistical Analyst
Language: English
Published by Environmental Systems Research Institute Inc.,U.S., 2001
ISBN 10: 1589480066 ISBN 13: 9781589480063
paperback. Condition: Very Good. Using Arcgis Geostatistical Analyst This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .
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Using Arcgis Geostatistical Analyst
Language: English
Published by Environmental Systems Research Institute Inc.,U.S. -, 2001
ISBN 10: 1589480066 ISBN 13: 9781589480063
paperback. Condition: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.
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Spatial Linear Models for Environmental Data
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 036718334X ISBN 13: 9780367183349
Condition: As New. Unread book in perfect condition.
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Spatial Linear Models for Environmental Data
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 036718334X ISBN 13: 9780367183349
Condition: New.
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Spatial Linear Models for Environmental Data (Chapman & Hall/CRC Applied Environmental Statistics)
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 036718334X ISBN 13: 9780367183349
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Spatial Linear Models for Environmental Data (Chapman & Hall/CRC Applied Environmental Statistics)
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 036718334X ISBN 13: 9780367183349
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Spatial Linear Models for Environmental Data
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 036718334X ISBN 13: 9780367183349
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Spatial Linear Models for Environmental Data
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 036718334X ISBN 13: 9780367183349
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Spatial Linear Models for Environmental Data (Chapman & Hall/CRC Applied Environmental Statistics)
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 036718334X ISBN 13: 9780367183349
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Spatial Linear Models for Environmental Data (Chapman & Hall/CRC Applied Environmental Statistics)
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 036718334X ISBN 13: 9780367183349
Condition: New. 1st edition NO-PA16APR2015-KAP.
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Spatial Linear Models for Environmental Data (Chapman & Hall/CRC Applied Environmental Statistics)
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 036718334X ISBN 13: 9780367183349
Condition: New.
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Spatial Linear Models for Environmental Data (Chapman & Hall/CRC Applied Environmental Statistics)
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 036718334X ISBN 13: 9780367183349
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Spatial Linear Models for Environmental Data
Language: English
Published by Taylor and Francis Ltd, GB, 2024
ISBN 10: 036718334X ISBN 13: 9780367183349
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Add to basketHardback. Condition: New. Many applied researchers equate spatial statistics with prediction or mapping, but this book naturally extends linear models, which includes regression and ANOVA as pillars of applied statistics, to achieve a more comprehensive treatment of the analysis of spatially autocorrelated data. Spatial Linear Models for Environmental Data, aimed at students and professionals with a master's level training in statistics, presents a unique, applied, and thorough treatment of spatial linear models within a statistics framework. Two subfields, one called geostatistics and the other called areal or lattice models, are extensively covered. Zimmerman and Ver Hoef present topics clearly, using many examples and simulation studies to illustrate ideas. By mimicking their examples and R code, readers will be able to fit spatial linear models to their data and draw proper scientific conclusions. Topics covered include:Exploratory methods for spatial data including outlier detection, (semi)variograms, Moran's I, and Geary's c.Ordinary and generalized least squares regression methods and their application to spatial data.Suitable parametric models for the mean and covariance structure of geostatistical and areal data.Model-fitting, including inference methods for explanatory variables and likelihood-based methods for covariance parameters.Practical use of spatial linear models including prediction (kriging), spatial sampling, and spatial design of experiments for solving real world problems.All concepts are introduced in a natural order and illustrated throughout the book using four datasets. All analyses, tables, and figures are completely reproducible using open-source R code provided at a GitHub site. Exercises are given at the end of each chapter, with full solutions provided on an instructor's FTP site supplied by the publisher.
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Add to basketHardcover. Condition: Brand New. 416 pages. 10.00x7.00x10.00 inches. In Stock.
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Spatial Linear Models for Environmental Data
Language: English
Published by Taylor and Francis Ltd, GB, 2024
ISBN 10: 036718334X ISBN 13: 9780367183349
First Edition
US$ 191.70
US$ 88.90 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketHardback. Condition: New. 1st. Many applied researchers equate spatial statistics with prediction or mapping, but this book naturally extends linear models, which includes regression and ANOVA as pillars of applied statistics, to achieve a more comprehensive treatment of the analysis of spatially autocorrelated data. Spatial Linear Models for Environmental Data, aimed at students and professionals with a master's level training in statistics, presents a unique, applied, and thorough treatment of spatial linear models within a statistics framework. Two subfields, one called geostatistics and the other called areal or lattice models, are extensively covered. Zimmerman and Ver Hoef present topics clearly, using many examples and simulation studies to illustrate ideas. By mimicking their examples and R code, readers will be able to fit spatial linear models to their data and draw proper scientific conclusions. Topics covered include:Exploratory methods for spatial data including outlier detection, (semi)variograms, Moran's I, and Geary's c.Ordinary and generalized least squares regression methods and their application to spatial data.Suitable parametric models for the mean and covariance structure of geostatistical and areal data.Model-fitting, including inference methods for explanatory variables and likelihood-based methods for covariance parameters.Practical use of spatial linear models including prediction (kriging), spatial sampling, and spatial design of experiments for solving real world problems.All concepts are introduced in a natural order and illustrated throughout the book using four datasets. All analyses, tables, and figures are completely reproducible using open-source R code provided at a GitHub site. Exercises are given at the end of each chapter, with full solutions provided on an instructor's FTP site supplied by the publisher.
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US$ 171.27
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dale L. Zimmerman is Professor of Statistics at the University of Iowa, and Jay M. Ver Hoef is Senior Scientist and Statistician, Alaska Fisheries Science Center, NOAA Fisheries. Both are Fellows of the American Statistical Association and .
