Generalized Linear Mixed Models in the Agricultural and Natural ResourcesSciences provides readers with an understanding and appreciation for the design and analysis of mixed models for non-normally distributed data. It is the only publication of its kind directed specifically toward the agricultural and natural resources sciences audience. Readers will especially benefit from the numerous worked examples based on actual experimental data and the discussion of pitfalls associated with incorrect analyses. Audience: Industry and academic researchers in all areas of natural resources, agricultural, and environmental research; statisticians working in life sciences.

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Analysis of Generalized Linear Mixed Models in the Agricultural and Natural Resources Sciences (ASA, CSSA, and SSSA Books)

Gbur, Edward E.; Stroup, Walter W.; McCarter, Kevin S.; Durham, Susan; Young, Linda J.; Christman, Mary; West, Mark; Kramer, Matthew

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