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Highly Cited

2009

Highly Cited

2009

Under a quantile restriction, randomly censored regression models can be written in terms of conditional moment inequalities. We… Expand

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2008

2008

This note illustrates that the typical parameter, beta, in a censored regression model can be used to calculate an interesting… Expand

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Highly Cited

2007

Highly Cited

2007

Suppose that we are interested in establishing simple but reliable rules for predicting future t-year survivors through censored… Expand

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2002

2002

Let (X, Y ) be a random vector, where Y denotes the variable of interest, possibly subject to random right censoring, and X is a… Expand

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Highly Cited

1999

Highly Cited

1999

Consider a heteroscedastic regression model $Y = m(X) + \sigma(X)\varepsilon$, where the functions $m$ and $\sigma$ are "smooth… Expand

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1994

1994

This paper discusses the inter- pretation of coefficients in censored regression mode/s. Although a substantial amount of… Expand

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1994

1994

Discontinuous relationships between variables are common in biological data. Discontinuities can sometimes give the appearance of… Expand

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Highly Cited

1992

Highly Cited

1992

We consider the Bayes estimation of the Tobit censored regression model with normally distributed errors. A simple condition for… Expand

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Highly Cited

1992

Highly Cited

1992

This paper considers estimation of truncated.and censored regression models with fixed effects. Up until now, no estimator has… Expand

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Highly Cited

1984

Highly Cited

1984

This paper proposes an alternative to maximum likelihood estimation of the parameters of the censored regression (or censored… Expand

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