interaction contrasts (estimate function in sas proc mixed) (SAS institute)
90
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SAS institute
interaction contrasts (estimate function in sas proc mixed)
Interaction Contrasts (Estimate Function In Sas Proc Mixed), supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/interaction+contrasts+(estimate+function+in+sas+proc+mixed)/interaction+contrasts++estimate+function+in+sas+proc+mixed+/pm24095798-130-16-21
Average 90 stars, based on 1 article reviews
Interaction Contrasts (Estimate Function In Sas Proc Mixed), supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/interaction+contrasts+(estimate+function+in+sas+proc+mixed)/interaction+contrasts++estimate+function+in+sas+proc+mixed+/pm24095798-130-16-21
Average 90 stars, based on 1 article reviews
interaction contrasts (estimate function in sas proc mixed) - by Bioz Stars,
2026-09
90/100 stars
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Functional Assay:Article Title: Water-use efficiency and relative growth rate mediate competitive interactions in Sonoran Desert winter annual plants. Article Snippet: American Journal of Botany 100(10): 2009–2015, 2013 ; http://www.amjbot.org/ © 2013 Botanical Society of America Ecologists have long recognized the power of both the abiotic environment and species interactions in structuring communities ( Darwin, 1859 ; Nicholson, 1933 ; Andrewartha and Birch, 1954 ; Grime, 1977 ; Tilman, 1985 ; Goldberg and Barton, 1992 ).. Therefore, identifying morphological and physiological traits that determine performance in response to both abiotic and biotic factors provides insight into how communities are assembled and evolve ( Ackerly et al., 2000 ; Suding et al., 2003 ; McGill et al., 2006 ; Violle et al., 2009 ).. Recent advances linking these functional traits to demographic differences have shown that this synthetic approach can be effective for identifying mechanisms underlying demographic responses ( Angert et al., 2007 ; Huxman et al., 2008 ; Kraft and Ackerly, 2010 ) and patterns of abundance ( Rees et al., 2001 ; Ackerly and Cornwell, 2007 ; Angert et al., 2009 ; Kraft and Ackerly, 2010 ). |