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@BOOK{bates1988,
  title = {Nonlinear regression and its applications},
  publisher = {Wiley-Interscience},
  year = {1988},
  author = {D. Bates and D. Watts}
}

@MANUAL{FOCUSkinetics2011,
  title = {Generic guidance for estimating persistence and degradation kinetics
	from environmental fate studies on pesticides in EU registration},
  author = {{FOCUS Work Group on Degradation Kinetics}},
  edition = {1.0},
  month = {November},
  year = {2011},
  file = {FOCUS kinetics 2011 Generic guidance:/home/ranke/dok/orgs/focus/FOCUSkineticsvc_1_0_Nov23.pdf:PDF},
  url = {http://esdac.jrc.ec.europa.eu/projects/degradation-kinetics}
}

@MANUAL{FOCUSkinetics2014,
  title = {Generic guidance for estimating persistence and degradation kinetics
	from environmental fate studies on pesticides in EU registration},
  author = {{FOCUS Work Group on Degradation Kinetics}},
  edition = {1.1},
  month = {December},
  year = {2014},
  file = {FOCUS kinetics 2011 Generic guidance:/home/ranke/dok/orgs/focus/dk/FOCUSkineticsvc1.1Dec2014.pdf:PDF},
  url = {http://esdac.jrc.ec.europa.eu/projects/degradation-kinetics}
}

@MANUAL{FOCUS2006,
  title = {Guidance Document on Estimating Persistence and Degradation Kinetics
	from Environmental Fate Studies on Pesticides in EU Registration.
	Report of the FOCUS Work Group on Degradation Kinetics},
  author = {{FOCUS Work Group on Degradation Kinetics}},
  year = {2006},
  note = {EC Document Reference Sanco/10058/2005 version 2.0},
  url = {http://esdac.jrc.ec.europa.eu/projects/degradation-kinetics}
}

@MANUAL{rcore2016,
  title = {\textsf{R}: A Language and Environment for Statistical Computing},
  author = {{R Development Core Team}},
  organization = {R Foundation for Statistical Computing},
  address = {Vienna, Austria},
  year = {2016},
  note = {{ISBN} 3-900051-07-0},
  url = {https://www.R-project.org}
}

@MANUAL{pkg:mkin,
  title = {`{mkin}`: {K}inetic evaluation of chemical degradation data},
  author = {J. Ranke},
  year = {2019},
  url = {https://CRAN.R-project.org/package=mkin}
}

@Inproceedings{   schaefer2007,
  title         = {{KinGUI}: a new kinetic software tool for evaluations according to {FOCUS} degradation kinetics},
  author       = {D. Sch\"{a}fer and B. Mikolasch and P. Rainbird and B. Harvey},
  booktitle    = {Proceedings of the XIII Symposium Pesticide Chemistry},
  editor       = {Del Re A. A. M. and Capri E. and Fragoulis G. and Trevisan M.},
  year          = {2007},
  address       = {Piacenza},
  pages         = {916--923}
}

@ARTICLE{soetaert2010,
  author = {Karline Soetaert and Thomas Petzoldt},
  title = {Inverse Modelling, Sensitivity and Monte Carlo Analysis in {R} Using
	Package {FME}},
  journal = {Journal of Statistical Software},
  year = {2010},
  volume = {33},
  pages = {1--28},
  number = {3},
  url = {https://www.jstatsoft.org/v33/i03/}
}

@Inproceedings{   ranke2012,
  title         = {Parameter reliability in kinetic evaluation of environmental metabolism data - Assessment and the influence of model specification},
  author       = {J. Ranke and R. Lehmann},
  booktitle    = {SETAC World 20-24 May},
  year          = {2012},
  address       = {Berlin}
}
@Inproceedings{   ranke2015,
  title         = {To t-test or not to t-test, that is the question},
  author        = {J. Ranke and R. Lehmann},
  booktitle     = {XV Symposium on Pesticide Chemistry 2-4 September 2015},
  year          = {2015},
  address       = {Piacenza},
  url           = {http://chem.uft.uni-bremen.de/ranke/posters/piacenza_2015.pdf}
}
@Techreport{ranke2014,
  title = {{Prüfung und Validierung von Modellierungssoftware als Alternative zu
    ModelMaker 4.0}},
  author = {J. Ranke}, 
  year = 2014,
  institution = {Umweltbundesamt},
  volume = {Projektnummer 27452}
}

@Article{ranke2018,
  author="Ranke, Johannes
  and W{\"o}ltjen, Janina
  and Meinecke, Stefan",
  title="Comparison of software tools for kinetic evaluation of chemical degradation data",
  journal="Environmental Sciences Europe",
  year="2018",
  month="May",
  day="18",
  volume="30",
  number="1",
  pages="17",
  abstract="For evaluating the fate of xenobiotics in the environment, a variety of degradation or environmental metabolism experiments are routinely conducted. The data generated in such experiments are evaluated by optimizing the parameters of kinetic models in a way that the model simulation fits the data. No comparison of the main software tools currently in use has been published to date. This article shows a comparison of numerical results as well as an overall, somewhat subjective comparison based on a scoring system using a set of criteria. The scoring was separately performed for two types of uses. Uses of type I are routine evaluations involving standard kinetic models and up to three metabolites in a single compartment. Evaluations involving non-standard model components, more than three metabolites or more than a single compartment belong to use type II. For use type I, usability is most important, while the flexibility of the model definition is most important for use type II.",
  issn="2190-4715",
  doi="10.1186/s12302-018-0145-1",
  url="https://doi.org/10.1186/s12302-018-0145-1"
}

@Article{gao11,
  Title                    = {Improving uncertainty analysis in kinetic evaluations using iteratively reweighted least squares},
  Author                   = {Gao, Z. and Green, J.W. and Vanderborght, J. and Schmitt, W.},
  Journal                  = {Environmental Science and Technology},
  Year                     = {2011},
  Pages                    = {4429-4437},
  Volume                   = {45},
  Type                     = {Journal}
}