Abstract
We consider the problem of testing the goodness of fit of a parametric family F(·; θ) of the survival distributions from some doubly censored data. We investigate Pearson-type chi-squared statistics which compare the Tsai and Growly (1985) estimator F n(t) to the parametric MLE F(t),θ n).
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© 1999 Springer Science+Business Media New York
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Nikulin, M.S., Solev, V.N. (1999). Chi-Squared Goodness of Fit Test for Doubly Censored Data With Applications in Survival Analysis and Reliability. In: Ionescu, D.C., Limnios, N. (eds) Statistical and Probabilistic Models in Reliability. Statistics for Industry and Technology. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4612-1782-4_7
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DOI: https://doi.org/10.1007/978-1-4612-1782-4_7
Publisher Name: Birkhäuser, Boston, MA
Print ISBN: 978-1-4612-7280-9
Online ISBN: 978-1-4612-1782-4
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