A constrained quadratic spline as a model for the cumulative hazard function
by Vasiliy V. Krivtsov, Ilya V. Kolmanovsky, Timothy P. Davis
International Journal of Reliability and Safety (IJRS), Vol. 2, No. 3, 2008

Abstract: Probability distributions traditionally used in reliability analysis (e.g. exponential, Weibull, lognormal, normal, gamma and inverse Gaussian) do not always provide enough flexibility to model real-world lifetime data. Considered in this paper is a quadratic spline with a single free knot as a model of the cumulative hazard function for increasing failure rate distributions. A parsimonious (essentially closed form) solution with a simple numerical search is proposed for estimating spline parameters. Automotive warranty data examples are discussed as an illustration.

Online publication date: Sat, 01-Nov-2008

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