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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

Highly Cited

2004

Highly Cited

2004

FITTING DATA WITH NONLINEAR REGRESSION FITTING DATA WITH LINEAR REGRESSION MODELS HOW NONLINEAR REGRESSION WORKS CONFIDENCE… Expand

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

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

Highly Cited

1996

Highly Cited

1996

Part 1 Spline functions: univariate splines bivariate splines. Part 2 Curve fitting: an introduction least-squares spline curve… Expand

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

Highly Cited

1994

Highly Cited

1994

Fitting circles and ellipses to given points in the plane is a problem that arises in many application areas, e.g., computer… Expand

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

Highly Cited

1973

Highly Cited

1973

In this paper it is shown that the classical maximum likelihood principle can be considered to be a method of asymptotic… Expand

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