Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 109,37
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 117,16
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 111,82
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 121,65
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 106,64
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New.
EUR 106,65
Cantidad disponible: 1 disponibles
Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 4 working days.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 109,25
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 113,74
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 139,26
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. 1st edition NO-PA16APR2015-KAP.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 135,47
Cantidad disponible: 1 disponibles
Añadir al carritohardcover. Condición: New. New. book.
Idioma: Inglés
Publicado por Taylor and Francis Ltd, GB, 2024
ISBN 10: 036718334X ISBN 13: 9780367183349
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 161,92
Cantidad disponible: Más de 20 disponibles
Añadir al carritoHardback. Condición: 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.
EUR 163,91
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 416 pages. 10.00x7.00x10.00 inches. In Stock.
Idioma: Inglés
Publicado por Taylor and Francis Ltd, GB, 2024
ISBN 10: 036718334X ISBN 13: 9780367183349
Librería: Rarewaves.com UK, London, Reino Unido
EUR 152,44
Cantidad disponible: Más de 20 disponibles
Añadir al carritoHardback. Condición: 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.
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 125,01
Cantidad disponible: Más de 20 disponibles
Añadir al carritoHRD. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 133,56
Cantidad disponible: Más de 20 disponibles
Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 128,63
Cantidad disponible: Más de 20 disponibles
Añadir al carritoHardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 138,60
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND.
Librería: moluna, Greven, Alemania
EUR 140,35
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: 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 .
Librería: preigu, Osnabrück, Alemania
EUR 161,80
Cantidad disponible: 5 disponibles
Añadir al carritoBuch. Condición: Neu. Spatial Linear Models for Environmental Data | Dale L. Zimmerman (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2024 | Chapman and Hall/CRC | EAN 9780367183349 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 167,99
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.