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Basi6 International, Irving, TX, Estados Unidos de America
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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.
Acerca del autor:
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 winners of that association’s Section for Statistics and the Environment Distinguished Achievement Award.
Título: Spatial Linear Models for Environmental Data
Editorial: Chapman and Hall/CRC
Año de publicación: 2024
Encuadernación: Encuadernación de tapa dura
Condición: Brand New