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Curve fitting

Known as: Curve-fitted, Curve-fitting, Non linear curve fitting 
Curve fitting is the process of constructing a curve, or mathematical function, that has the best fit to a series of data points, possibly subject to… Expand
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Papers overview

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Review
2018
Review
2018
Predictive process monitoring has recently gained traction in academia and is maturing also in companies. However, with the… Expand
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Review
2018
Review
2018
Abstract The reciprocal relations of motivation with affective, behavioral, and cognitive engagement were tested. Engagement… Expand
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Highly Cited
2014
Highly Cited
2014
Maximum likelihood or restricted maximum likelihood (REML) estimates of the parameters in linear mixed-effects models can be… Expand
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Highly Cited
2004
Highly Cited
2004
FITTING DATA WITH NONLINEAR REGRESSION FITTING DATA WITH LINEAR REGRESSION MODELS HOW NONLINEAR REGRESSION WORKS CONFIDENCE… Expand
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Highly Cited
2001
Highly Cited
2001
We describe a Bayesian method, for fitting curves to data drawn from an exponential family, that uses splines for which the… Expand
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Highly Cited
1998
Highly Cited
1998
A method of estimating a variety of curves by a sequence of piecewise polynomials is proposed, motivated by a Bayesian model and… Expand
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Highly Cited
1996
Highly Cited
1996
  • P. Dierckx
  • Monographs on numerical analysis
  • 1996
  • Corpus ID: 122918752
Part 1 Spline functions: univariate splines bivariate splines. Part 2 Curve fitting: an introduction least-squares spline curve… Expand
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Highly Cited
1996
Highly Cited
1996
SUMMARY Problems of regression smoothing and curve fitting are addressed via predictive inference in a flexible class of mixture… Expand
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Highly Cited
1986
Highly Cited
1986
The purpose of this book is to reveal to the interested (but perhaps mathematically unsophisticated) user the foundations and… Expand
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Highly Cited
1970
Highly Cited
1970
A new mathematical method is developed for interpolation from a given set of data points in a plane and for fitting a smooth… Expand
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