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.

The American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America are prominent international scientific societies headquartered in Madison, Wisconsin. The Societies specialize in peer-reviewed, high-quality science titles for a wide variety of audiences.
Some of the many areas we publish in include:

-Soils Methods and Management
-Crop Development and Improvement
-Agrosystem Management and the Global Food Crisis
-Environmental Conservation and Climatology

Review:

''I found this a very well organized and informative manuscript that I think will be quite popular among agricultural researchers.''

''I really liked how you went into detailed explanations ordinarily not found in textbooks since your emphasis was on the application of the generalized linear model methodology.''

''a tremendous resource for researchers in both the agricultural and natural resources fields'' --Different Reviewers

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