Guest Editors’ Introduction to the Special Issue on “Recent Advances in Design and Analysis of Experiments and Observational Studies in Agriculture”

Hans-Peter Piepho (), Robert J. Tempelman and Emlyn R. Williams
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Hans-Peter Piepho: University of Hohenheim
Robert J. Tempelman: Michigan State University
Emlyn R. Williams: Australian National University

Journal of Agricultural, Biological and Environmental Statistics, 2020, vol. 25, issue 4, No 1, 453-456

Abstract: Abstract The Journal of Agricultural, Biological and Environment Statistics (JABES) special issue on Recent Advances in Design and Analysis of Experiments and Observational Studies in Agriculture covers a select set of topics currently of primary importance in the field. Efficient use of resources in agricultural research, as well as valid statistical inference, requires good designs, and this special issue boasts seven papers providing both review and cutting-edge methodology for the purpose. A broad range of methods for analysis of data arising in different branches agricultural research is covered in another five exciting papers. This special issue highlights the importance of and opportunities for applied statistics in agriculture.

Keywords: Design of experiments; Generalized linear mixed models; Structural equation models; Michaelis–Menten kinetics; Generalized additive models; Spatial modelling (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s13253-020-00417-z

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