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Highly Cited

2016

Highly Cited

2016

In confirmatory factor analysis (CFA), the use of maximum likelihood (ML) assumes that the observed indicators follow a… Expand

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Highly Cited

2012

Highly Cited

2012

Due to the simplicity of their implementations, least square support vector machine (LS-SVM) and proximal support vector machine… Expand

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Highly Cited

2010

Highly Cited

2010

Partial least squares regression has been an alternative to ordinary least squares for handling multicollinearity in several… Expand

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Highly Cited

2001

Highly Cited

2001

Recent advances in molecular genetic techniques will make dense marker maps available and genotyping many individuals for these… Expand

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Highly Cited

1998

Highly Cited

1998

This paper presents a numerically stable non-iterative algorithm for fitting an ellipse to a set of data points. The approach is… Expand

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Highly Cited

1996

Highly Cited

1996

This paper introduces a new tool for functional neuroimage analysis: partial least squares (PLS). It is unique as a multivariate… Expand

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Highly Cited

1996

Highly Cited

1996

The application of the ‘‘model trust region’’ modification of the instrumentation. Two of the most important advances inLevenberg… Expand

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Highly Cited

1972

Highly Cited

1972

The linearity of the detection system including the attenuator will directly affect the accuracy of 0 and should be considered… Expand

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Highly Cited

1950

Highly Cited

1950

A great deal of use has undoubtedly been made of least squares regression methods in circumstances in which they are known to be… Expand

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Highly Cited

1950