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Integrating modern statistics with practical problems in soil and crop science, Contemporary Statistical Models for the Plant and Soil Science provides real-life examples that illustrates the material. Advances in technology have significantly altered the type, amount, quality, timing, format, and the source of data available. This book shows the reader how to apply these techniques to their work. The techniques presented include: mixed linear models, nonlinear regression, and spatial statistics. A CD-ROM is included that allows the reader to work the problems on their own.

Statistical Methods for Spatial Data Analysis is a comprehensive treatment of statistical theory and methods for spatial data analysis, employing a model-based and frequentist approach that emphasizes the spatial domain. The authors deliver an outstanding treatment of semivariogram estimation and modeling, spatial analysis in the s