9780891181828-0891181822-Analysis of Generalized Linear Mixed Models in the Agricultural and Natural Resources Sciences (ASA, CSSA, and SSSA Books)

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

ISBN-13: 9780891181828
ISBN-10: 0891181822
Edition: 1
Author: Walter W. Stroup, Mark West, Linda J. Young, Matthew Kramer, Edward E. Gbur, Kevin S. McCarter, Susan Durham, Mary Christman
Publication date: 2020
Publisher: ACSESS
Format: Hardcover 304 pages
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Book details

ISBN-13: 9780891181828
ISBN-10: 0891181822
Edition: 1
Author: Walter W. Stroup, Mark West, Linda J. Young, Matthew Kramer, Edward E. Gbur, Kevin S. McCarter, Susan Durham, Mary Christman
Publication date: 2020
Publisher: ACSESS
Format: Hardcover 304 pages

Summary

Analysis of Generalized Linear Mixed Models in the Agricultural and Natural Resources Sciences (ASA, CSSA, and SSSA Books) (ISBN-13: 9780891181828 and ISBN-10: 0891181822), written by authors Walter W. Stroup, Mark West, Linda J. Young, Matthew Kramer, Edward E. Gbur, Kevin S. McCarter, Susan Durham, Mary Christman, was published by ACSESS in 2020. With an overall rating of 4.4 stars, it's a notable title among other Engineering (Crop Science, Agricultural Sciences, Horticulture, Botany, Biological Sciences) books. You can easily purchase or rent Analysis of Generalized Linear Mixed Models in the Agricultural and Natural Resources Sciences (ASA, CSSA, and SSSA Books) (Hardcover) from BooksRun, along with many other new and used Engineering books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.85.

Description

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.

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