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; Emlyn R. Williams

doi:10.1007/s13253-020-00417-z

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, Emlyn R. Williams

^*Corresponding author for this work

Research output: Contribution to journal › Editorial › peer-review

1 Citation (Scopus)

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.

Original language	English
Pages (from-to)	453-456
Number of pages	4
Journal	Journal of Agricultural, Biological, and Environmental Statistics
Volume	25
Issue number	4
DOIs	https://doi.org/10.1007/s13253-020-00417-z
Publication status	Published - 1 Dec 2020

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title = "Guest Editors{\textquoteright} Introduction to the Special Issue on “Recent Advances in Design and Analysis of Experiments and Observational Studies in Agriculture”",

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 additive models, Generalized linear mixed models, Michaelis–Menten kinetics, Spatial modelling, Structural equation models",

author = "Piepho, \{Hans Peter\} and Tempelman, \{Robert J.\} and Williams, \{Emlyn R.\}",

note = "Publisher Copyright: {\textcopyright} 2020, The Author(s).",

year = "2020",

month = dec,

day = "1",

doi = "10.1007/s13253-020-00417-z",

language = "English",

volume = "25",

pages = "453--456",

journal = "Journal of Agricultural, Biological, and Environmental Statistics",

issn = "1085-7117",

publisher = "Springer",

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Guest Editors’ Introduction to the Special Issue on “Recent Advances in Design and Analysis of Experiments and Observational Studies in Agriculture”. / Piepho, Hans Peter; Tempelman, Robert J.; Williams, Emlyn R.
In: Journal of Agricultural, Biological, and Environmental Statistics, Vol. 25, No. 4, 01.12.2020, p. 453-456.

Research output: Contribution to journal › Editorial › peer-review

TY - JOUR

T1 - Guest Editors’ Introduction to the Special Issue on “Recent Advances in Design and Analysis of Experiments and Observational Studies in Agriculture”

AU - Piepho, Hans Peter

AU - Tempelman, Robert J.

AU - Williams, Emlyn R.

PY - 2020/12/1

Y1 - 2020/12/1

N2 - 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.

AB - 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.

KW - Design of experiments

KW - Generalized additive models

KW - Generalized linear mixed models

KW - Michaelis–Menten kinetics

KW - Spatial modelling

KW - Structural equation models

UR - https://www.scopus.com/pages/publications/85091754175

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DO - 10.1007/s13253-020-00417-z

M3 - Editorial

AN - SCOPUS:85091754175

SN - 1085-7117

VL - 25

SP - 453

EP - 456

JO - Journal of Agricultural, Biological, and Environmental Statistics

JF - Journal of Agricultural, Biological, and Environmental Statistics

IS - 4

ER -

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

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