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Analysis of Generalized Linear Mixed Models in the Agricultural and Natural Resources Sciences. Edition No. 1. ASA, CSSA, and SSSA Books

  • Book

  • 304 Pages
  • March 2020
  • John Wiley and Sons Ltd
  • ID: 5840553

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.

Authors

Edward E. Gbur Professor and Interim Director of the Agricultural Statistics Laboratory at the University of Arkansas. Walter W. Stroup Professor of Statistics at the University of Nebraska, Lincoln. Kevin S. McCarter Department of Experimental Statistics at Louisiana State University. Susan Durham Statistical consultant at Utah State University. Linda J. Young Professor of Statistics at the University of Florida. Mary Christman Lead statistical consultant with MCC Statistical Consulting LLC. Mark West Statistician for the U. S. Department of Agriculture Agricultural Research Service. Matthew Kramer Statistician in the mid-Atlantic area (Beltsville, MD) of the Agricultural Research Service (USDA).