Utilizing R software package for dose-response studies: the concept and data analysis

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Standard

Utilizing R software package for dose-response studies : the concept and data analysis. / Knezevic, Stevan Z.; Streibig, Jens Carl; Ritz, Christian.

I: Weed Technology, Bind 21, Nr. 3, 2007, s. 840-848.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Knezevic, SZ, Streibig, JC & Ritz, C 2007, 'Utilizing R software package for dose-response studies: the concept and data analysis', Weed Technology, bind 21, nr. 3, s. 840-848. https://doi.org/10.1614/WT-06-161.1

APA

Knezevic, S. Z., Streibig, J. C., & Ritz, C. (2007). Utilizing R software package for dose-response studies: the concept and data analysis. Weed Technology, 21(3), 840-848. https://doi.org/10.1614/WT-06-161.1

Vancouver

Knezevic SZ, Streibig JC, Ritz C. Utilizing R software package for dose-response studies: the concept and data analysis. Weed Technology. 2007;21(3):840-848. https://doi.org/10.1614/WT-06-161.1

Author

Knezevic, Stevan Z. ; Streibig, Jens Carl ; Ritz, Christian. / Utilizing R software package for dose-response studies : the concept and data analysis. I: Weed Technology. 2007 ; Bind 21, Nr. 3. s. 840-848.

Bibtex

@article{f314b1d0a1c211ddb6ae000ea68e967b,
title = "Utilizing R software package for dose-response studies: the concept and data analysis",
abstract = "Udgivelsesdato: JUL-SEP",
keywords = "Former LIFE faculty, nonlinear regression, experimental design, weed dry matter",
author = "Knezevic, {Stevan Z.} and Streibig, {Jens Carl} and Christian Ritz",
year = "2007",
doi = "10.1614/WT-06-161.1",
language = "English",
volume = "21",
pages = "840--848",
journal = "Weed Technology",
issn = "0890-037X",
publisher = "Allen Press Inc.",
number = "3",

}

RIS

TY - JOUR

T1 - Utilizing R software package for dose-response studies

T2 - the concept and data analysis

AU - Knezevic, Stevan Z.

AU - Streibig, Jens Carl

AU - Ritz, Christian

PY - 2007

Y1 - 2007

N2 - Udgivelsesdato: JUL-SEP

AB - Udgivelsesdato: JUL-SEP

KW - Former LIFE faculty

KW - nonlinear regression

KW - experimental design

KW - weed dry matter

U2 - 10.1614/WT-06-161.1

DO - 10.1614/WT-06-161.1

M3 - Journal article

VL - 21

SP - 840

EP - 848

JO - Weed Technology

JF - Weed Technology

SN - 0890-037X

IS - 3

ER -

ID: 8083059