Nonparametric Estimation of Hazard Rate Under the Constraint of Monotonicity

By Peter Hall, Li‐Shan Huang, J. Gifford, Irène Gijbels. 2001

49 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/66c8d245a65c2bd7b1a0279bc26410e601744bf8

How researchers see this paper

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In Statistics and Probability

1. Jeffrey S. Racine
2. I. Van Keilegom
3. Christopher F. Parmeter
4. Peter Hall
5. I. Chang
6. Chao A. Hsiung
7. Yuh-Jenn Wu
8. Pang Du

Citations in the corpus

• Testing for monotone increasing hazard rate (2005, background): “Hall, Huang, Gifford and Gijbels [14] have suggested methods for estimating a hazard rate under the assumption of monotonicity and surveyed earlier work on the topic.”
• Nonparametric Kernel Regression with Multiple Predictors and Multiple Shape Constraints (2012, methodology): “It is a bootstrap testing procedure that is simple to implement and extends the monotonicity testing procedure in Hall et al. (2001) to our multivariate and multiple constraints setting.”
• Bayesian Survival Analysis Using Bernstein Polynomials (2005, methodology): “Assuming a non-decreasing hazard rate, this dataset was also examined by Hall et al. (2001).”