Results 201 to 210 of about 1,282,521 (243)
Modeling and forecasting air pollution for public health protection based on ML and time series models in Gulf Cooperation Council (GCC) countries. [PDF]
BMC Public HealthDaniyal M +5 more
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Complex genetic effects linked to plasma protein abundance in the UK Biobank. [PDF]
Nat CommunSigurdsson AI +17 more
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1992
Abstract Experimental designs for non-linear models depend on the values of the parameters, which will generally be unknown. In this section we first give four examples of non-linear models and then consider the general implications for design of this dependence on unknown values.
A C Atkinson, A N Doney
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Abstract Experimental designs for non-linear models depend on the values of the parameters, which will generally be unknown. In this section we first give four examples of non-linear models and then consider the general implications for design of this dependence on unknown values.
A C Atkinson, A N Doney
openaire +2 more sources
1997
In linear regression the mean surface is a plane in sample space; in non-linear regression it may be an arbitrary curved surface but in all other respects the models are the same. Fortunately the mean surface in most non-linear regression models met in practice will be approximately planar in the region of highest likelihood, allowing some good ...
W. N. Venables, B. D. Ripley
openaire +1 more source
In linear regression the mean surface is a plane in sample space; in non-linear regression it may be an arbitrary curved surface but in all other respects the models are the same. Fortunately the mean surface in most non-linear regression models met in practice will be approximately planar in the region of highest likelihood, allowing some good ...
W. N. Venables, B. D. Ripley
openaire +1 more source
2012
Novel models for the assessment of non-linear data are being developed for the benefit of making better predictions from the data.
Ton J. Cleophas, Aeilko H. Zwinderman
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Novel models for the assessment of non-linear data are being developed for the benefit of making better predictions from the data.
Ton J. Cleophas, Aeilko H. Zwinderman
openaire +1 more source
2007
Abstract The experimental designs derived in the previous chapters for linear models do not depend on the values of the parameters β of the linear model. On the other hand, an important feature of designs for non-linear models is that they do depend on the values of the parameters.
A C Atkinson, A N Donev, R D Tobias
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Abstract The experimental designs derived in the previous chapters for linear models do not depend on the values of the parameters β of the linear model. On the other hand, an important feature of designs for non-linear models is that they do depend on the values of the parameters.
A C Atkinson, A N Donev, R D Tobias
openaire +1 more source