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Nonparametric estimation of discrete hazard functions
Lifetime Data Analysis, 1996A smoothing procedure for discrete time failure data is proposed which allows for the inclusion of covariates. This purely nonparametric method is based on discrete or continuous kernel smoothing techniques that gives a compromise between the data and smoothness. The method may be used as an exploratory tool to uncover the underlying structure or as an
Tutz, Gerhard, Pritscher, Lisa
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Microelectronics Reliability, 1978
Abstract This paper presents an idea about three new hazard rate functions. Hazard rate and reliability expressions are presented.
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Abstract This paper presents an idea about three new hazard rate functions. Hazard rate and reliability expressions are presented.
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Tests for Reversed Hazard Rate Function
Calcutta Statistical Association Bulletin, 2003The reversed hazard rate Junction of a random variable, defined as tlw ratio of the density to its distribution function, plays an important role in analyzing left-censored data. In this paper we develop tests based on the empirical distribution function for an assigned reversed hazard rate function against a onesided alternative and two different ...
Nanda, Asok K., Paul, Prasanta
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Hazardous workspace modeling for manipulators using spatial hazard functions
2012 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), 2012This paper describes an approach to motion planning that includes hazards individually characterized as continuous functions of space. These functions contribute to a complex and discontinuous yet practical representation of the hazards found in a manipulator's workspace.
Brian O'Neil, Cheryl Brabec, Mitch Pryor
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On bilinear hazard quantile functions
METRON, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sankaran, P. G. +2 more
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Outcome analysis using hazard function methodology
The Annals of Thoracic Surgery, 1996The hazard function is the instantaneous rate of occurrence of a time-related event, such as death. Methods exist to determine the hazard function from clinical outcome (follow-up) data, to identify risk factors for higher hazard, and to generate patient-specific predictions.
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Mathematical tools for hazard function analysis
Journal of Mathematical Psychology, 2003A hazard function is a characterization of the risk of an event occurring at a given point, conditioned by the fact that the event has not already occurred. Given the important role of the hazard functions in the mathematical psychology, the paper deals with mathematical techniques apt to prove several properties of hazard functions.
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Properties of reverse hazard functions
Journal of Mathematical Psychology, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Giant tsunami monitoring, early warning and hazard assessment
Nature Reviews Earth & Environment, 2022Nobuhito Mori +2 more
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