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Highly Cited

2007

Highly Cited

2007

Chapter 3 deals with probability distributions, discrete and continuous densities, distribution functions, bivariate… Expand

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Highly Cited

2006

Highly Cited

2006

We look for evidence of habituation in twenty waves of German panel data: do individuals, after life and labour market events… Expand

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Highly Cited

2005

Highly Cited

2005

The problem of selecting the appropriate design flood is a constant concern to dam engineering and, in general, in the… Expand

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2004

2004

The applied econometrics of bivariate count data predominantly focus on a bivariate Poisson density with a correlation structure… Expand

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Highly Cited

2003

Highly Cited

2003

Summary. Models based on the bivariate Poisson distribution are used for modelling sports data. Independent Poisson distributions… Expand

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Highly Cited

2003

Highly Cited

2003

We consider bandwidth matrix selection for bivariate kernel density estimators. The majority of work in this area has been… Expand

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Highly Cited

2002

Highly Cited

2002

Most simple nonlinear thresholding rules for wavelet-based denoising assume that the wavelet coefficients are independent… Expand

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Highly Cited

2002

Highly Cited

2002

The performance of image-denoising algorithms using wavelet transforms can be improved significantly by taking into account the… Expand

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Highly Cited

2000

Highly Cited

2000

Abstract We propose model selection procedures for bivariate survival models for censored data generated by the Archimedean… Expand

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Highly Cited

1978

Highly Cited

1978

A method of blvariate interpolation and smooth surface fitting is developed for z values given at points irregularly distributed… Expand

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