SU\G(𝔸)/K·U

Theory & Methods: Data Sharpening for Hazard Rate Estimation

Gerda Claeskens, Peter Hall

Type: Article

Publication Date: 2002-09-01

Citations: 3

DOI: https://doi.org/10.1111/1467-842x.00230

Locations

  • Australian & New Zealand Journal of Statistics - View

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Works Cited by This (12)

Action Title Year Authors
+ PDF Chat Local Linear Regression Smoothers and Their Minimax Efficiencies 1993 Jianqing Fan
+ PDF Chat On the Least Squares Cross-Validation Bandwidth in Hazard Rate Estimation 1993 Prakash Patil
+ Smoothing parameter selection in hazard estimation 1991 P. Sardá
Philippe Vieu
+ Some heuristics of kernel based estimators of ratio functions 1994 Prakash Patil
Martin T. Wells
J. S. Marron
+ Bandwidth choice for nonparametric hazard rate estimation 1993 Prakash Patil
+ Miscellanea. Data sharpening as a prelude to density estimation 1999 Edwin Choi
+ PDF Chat Asymptotically Optimal Bandwidth Selection for Kernel Density Estimators from Randomly Right-Censored Samples 1987 J. S. Marron
W. J. Padgett
+ Kernel Estimators of the Failure-Rate Function and Density Estimation: An Analogy 1983 Nozer D. Singpurwalla
Man-Yuen Wong
+ PDF Chat High Order Data Sharpening for Density Estimation 2002 Peter Hall
Michael C. Minnotte
+ PDF Chat Locally adaptive hazard smoothing 1990 Hans‐Georg Müller
Jane-Ling Wang