@article {Simula.simula.2684,
	title = {Hierarchical Multivariate Regression-Based Sensitivity Analysis Reveals Complex Parameter Interaction Patterns in Dynamic Models},
	journal = {Chemometrics and Intelligent Laboratory Systems},
	volume = {120},
	number = {1},
	year = {2013},
	pages = {25-41},
	publisher = {Elsevier},
	doi = {10.1016/j.chemolab.2012.10.006},
	author = {T{\o}ndel, Kristin and Jon Olav {Vik} and Martens, Harald and Ulf G. {Indahl} and Nicolas P. {Smith} and Stig W. {Omholt}}
}
@article {karticlereference.2014-04-03.9225258604,
	title = {Multi-Way Metamodelling Facilitates Insight Into the Complex Input-Output Maps of Nonlinear Dynamic Models},
	journal = {BMC Systems Biology},
	volume = {6},
	number = {1},
	year = {2012},
	pages = {88},
	publisher = {BioMedCentral},
	author = {T{\o}ndel, Kristin and Ulf G. {Indahl} and Arne B. {Gjuvsland} and Stig W. {Omholt} and Martens, Harald}
}
@article {Simula.simula.2682,
	title = {Hierarchical Cluster-Based Partial Least Squares Regression Is an Efficient Tool for Metamodelling of Nonlinear Dynamic Models},
	journal = {BMC Systems Biology},
	volume = {5},
	number = {1},
	year = {2011},
	pages = {90},
	publisher = {BioMedCentral},
	doi = {10.1186/1752-0509-5-90},
	author = {T{\o}ndel, Kristin and Ulf G. {Indahl} and Arne B. {Gjuvsland} and Jon Olav {Vik} and Peter J. {Hunter} and Stig W. {Omholt} and Martens, Harald}
}
@article {SE.4.Joergensen.2003.a,
	title = {Software Effort Estimation by Analogy and Regression Toward the Mean},
	journal = {Journal of Systems and Software},
	volume = {68},
	number = {3},
	year = {2003},
	pages = {253-262},
	abstract = {Estimation by analogy is, simplified, the process of finding one or more projects that are similar to the one to be estimated and then derive the estimate from the values of these projects. If the selected projects have an unusual high or low productivity, then we should adjust the estimates toward productivity values of more average projects. The size of the adjustments depends on the expected accuracy of the estimation model. This paper evaluates one adjustment approach, based on the findings made by Sir Francis Galton in the late 1800s regarding the statistical phenomenon {\textquotedblleft}regression toward the mean{\textquotedblright} (RTM). We evaluate this approach on several data sets and find indications that it improves the estimation accuracy. Surprisingly, current analogy based effort estimation models do not, as far as we know, include adjustments related to extreme analogues and inaccurate estimation models. An analysis of several industrial software development and maintenance projects indicates that the effort estimates provided by software professionals, i.e., expert estimates, to some extent are RTM-adjusted. A student experiment confirms this finding, but also indicates a rather large variance in how well the need for RTM-adjustments is understood among software developers.},
	author = {J{\o}rgensen, Magne and Sj{\o}berg, Dag Ingar Kondrup and Ulf G. {Indahl}}
}
@inproceedings {SE.5.Joergensen.2001.b,
	title = {Software Effort Estimation by Analogy and Regression Toward the Mean},
	journal = {The Thirteenth International Conference on Software Engineering \& Knowledge Engineering (SEKE01)},
	year = {2001},
	month = {June 13-15},
	pages = {253 - 262},
	publisher = {Elsevier Science Inc},
	type = {Conference},
	address = {Buenos Aires, Argentina},
	abstract = {Estimation by analogy is, simplified, the process of finding one or more projects that are similar to the one to be estimated and then derive the estimate from the values of these projects. If the selected projects have an unusual high or low productivity, then we should adjust the estimates toward productivity values of more average projects. The size of the adjustments depends on the expected accuracy of the estimation model. This paper evaluates one adjustment approach, based on the findings made by Sir Francis Galton in the late 1800s regarding the statistical phenomenon \&ldquo;regression toward the mean\&rdquo; (RTM). We evaluate this approach on several data sets and find indications that it improves the estimation accuracy. Surprisingly, current analogy based effort estimation models do not, as far as we know, include adjustments related to extreme analogues and inaccurate estimation models. An analysis of several industrial software development and maintenance projects indicates that the effort estimates provided by software professionals, i.e., expert estimates, to some extent are RTM-adjusted. A student experiment confirms this finding, but also indicates a rather large variance in how well the need for RTM-adjustments is understood among software developers.},
	author = {J{\o}rgensen, Magne and Ulf G. {Indahl} and Sj{\o}berg, Dag Ingar Kondrup}
}
