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Analysis Of Generalized Linear Mixed Models In The Agricultural And Natural Resources Sciences
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Analysis Of Generalized Linear Mixed Models In The Agricultural And Natural Resources Sciences

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The goal of this text for students and professionals is to help readers who have worked with linear mixed models make the transition to generalized linear mixed models. Benefits and challenges of generalized linear mixed models are discussed from a practitioner's perspective. SAS code is used to analyze examples in the agricultural and natural resources sciences. After a review of basic concepts, subsequent chapters cover generalized linear models, linear mixed models, generalized linear mixed models, more complex examples, and design of experiments. Readers should be familiar with standard techniques for normally distributed responses and have experience using SAS or other statistical software. The reader-friendly layout contains many boxes. Gbur directs the Agricultural Statistics Laboratory at the University of Arkansas. Annotation c2012 Book News, Inc., Portland, OR (booknews.com)

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優惠價:90 3418
無庫存,下單後進貨
(到貨天數約30-45天)

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