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Highly Cited

2016

Highly Cited

2016

Least-squares means are predictions from a linear model, or averages thereof. They are useful in the analysis of experimental… Expand

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Highly Cited

2007

Highly Cited

2007

Let A be a real m×n matrix with m≧n. It is well known (cf. [4]) that
$$A = U\sum {V^T}$$
(1)
where
$${U^T}U = {V^T}V… Expand

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Highly Cited

2003

Highly Cited

2003

We propose a new approach to reinforcement learning for control problems which combines value-function approximation with linear… Expand

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Highly Cited

1995

Highly Cited

1995

Since the lm function provides a lot of features it is rather complicated. So we are going to instead use the function lsfit as a… Expand

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Highly Cited

1985

Highly Cited

1985

The method of weighted least squares is shown to be an appropriate way of fitting variogram models. The weighting scheme… Expand

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Highly Cited

1985

Highly Cited

1985

The Adaptive Least Squares Correlation is a very potent and flexible technique for all kinds of data matching problems. Here its… Expand

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Highly Cited

1982

Highly Cited

1982

It has long been realized that in pulse-code modulation (PCM), with a given ensemble of signals to handle, the quantum values… Expand

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Highly Cited

1982

Highly Cited

1982

An iterative method is given for solving Ax ~ffi b and minU Ax b 112, where the matrix A is large and sparse. The method is based… Expand

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Highly Cited

1976

Highly Cited

1976

The statistical properties of least-squares frequency analysis of unequally spaced data are examined. It is shown that, in the… Expand

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Highly Cited

1966

Highly Cited

1966

A detailed discussion of the calculation of the "best straight line" by the method of least squares is given. The most general… Expand

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