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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… 
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Papers overview

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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… 
Highly Cited
2004
Highly Cited
2004
FITTING DATA WITH NONLINEAR REGRESSION FITTING DATA WITH LINEAR REGRESSION MODELS HOW NONLINEAR REGRESSION WORKS CONFIDENCE… 
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… 
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… 
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… 
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… 
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… 
Highly Cited
1981
Highly Cited
1981
A new paradigm, Random Sample Consensus (RANSAC), for fitting a model to experimental data is introduced. RANSAC is capable of… 
Highly Cited
1978
Highly Cited
1978
The optimal design problem is tackled in the framework of a new model and new objectives. A regression model is proposed in which… 
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…