Analysis of Generalized Linear Mixed Models in the Agricultural and Natural Resources Sciences (ASA, CSSA, and SSSA Books)
معرفی کتاب «Analysis of Generalized Linear Mixed Models in the Agricultural and Natural Resources Sciences (ASA, CSSA, and SSSA Books)» نوشتهٔ Edward E. Gbur, Walter W. Stroup, Kevin S. McCarter, Susan Durham, Linda J. Young, Mary Christman, Mark West, Matthew Kramer، منتشرشده توسط نشر American Society of Agronomy and Soil Science Society of America در سال 2012. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.
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 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. Ch00.pdf......Page 2 Ch01.pdf......Page 17 Ch02.pdf......Page 23 Ch03.pdf......Page 51 Ch04.pdf......Page 75 Ch05.pdf......Page 125 Ch06.pdf......Page 215 Ch07.pdf......Page 253 Ch08.pdf......Page 287 Ch09.pdf......Page 293
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