Analysis of generalized linear mixed models in the agricultural and natural resources sciences

Authors

Edward E. Gbur, University of Arkansas
Walter W. Stroup, University of Nebraska–Lincoln
Kevin S. McCarter, Louisiana State University
Susan Durham, Utah State University
Linda J. Young, University of Florida
Mary Christman, University of Florida
Mark West, Auburn University
Matthew Kramer, USDA ARS Beltsville Agricultural Research Center

Document Type

Article

Publication Date

1-1-2012

Abstract

Generalized Linear Mixed Models in the Agricultural and Natural Resources Sciences 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.

Publication Source (Journal or Book title)

Analysis of Generalized Linear Mixed Models in the Agricultural and Natural Resources Sciences

First Page

1

Last Page

283

Recommended Citation

Gbur, E., Stroup, W., McCarter, K., Durham, S., Young, L., Christman, M., West, M., & Kramer, M. (2012). Analysis of generalized linear mixed models in the agricultural and natural resources sciences. Analysis of Generalized Linear Mixed Models in the Agricultural and Natural Resources Sciences, 1-283. https://doi.org/10.2134/2012.generalized-linear-mixed-models