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Spatial Models for Spatial Statistics: Some Unification
Language: English
Published by J Vegetation Sci, 1993
Magazine / Periodical
Pamphlet. Condition: Very Good. No 4, pp. 441-452, 4to, Extracted from orig vol, begins with title page, stapled & trimmed, thus is llike a pamphlet, VG.
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paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
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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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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
Condition: New.
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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
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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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
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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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
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 104.15
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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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
Language: English
Published by Taylor and Francis Ltd, GB, 2024
ISBN 10: 036718334X ISBN 13: 9780367183349
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
£ 141.94
Free Shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
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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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
hardcover. Condition: New. New. book.
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Hardcover. 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
£ 129.40
£ 65 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
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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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. PRINT ON DEMAND.
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Condition: 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 .
