Abstract
In the present chapter we study several graphical techniques for testing which life distribution fits the data. The objective is to obtain fast graphical verification or assessment of the type of life distribution for a particular system. The analysis is based on a given sample of observations on the TTF of a given system (or component of a system). It is often the case that such observations are censored (see Section 2.1) and the information is incomplete. We also distinguish between parametric and non-parametric (distribution-free) models of life distribution. We start with probability plotting techniques for parametric uncensored data.
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© 1992 Springer-Verlag New York, Inc.
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Zacks, S. (1992). Graphical Analysis of Life Data. In: Introduction to Reliability Analysis. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-2854-7_5
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DOI: https://doi.org/10.1007/978-1-4612-2854-7_5
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-7697-5
Online ISBN: 978-1-4612-2854-7
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