Chi-squared goodness-of-fit test for right censored data

By V. Bagdonavičius, M. Nikulin. 2011

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A New Log-Logistic Lifetime Model with Mathematical Properties, Copula, Modified Goodness-of-Fit Test for Validation and Real Data Modeling (2020, methodology): “All elements of the modified BN-GOF criteria tests are explicitly derived and given (for more details see [20,23,24]).”
Unit Modified Burr-III Distribution: Estimation, Characterizations and Validation Test (2020, background): “To assess the adequacy of a parametric model F0 when data are right-censored and the parameter vector is unknown, Bagdonavičius and Nikulin [3] proposed a statistic test Y2 based on the vector This one represents the differences between observed and expected numbers of failures ( Uj and ej ) to fall”
Expanded Fréchet Model: Mathematical Properties, Copula, Different Estimation Methods, Applications and Validation Testing (2020, background): “when data are right censored and the parameter vector P is unknown, [39] proposed a statistic test T2 based on the vector Y j = 1 √ h ( V j − e j )∣∣∣∣∣( j=1,2,.”
Validation of the Odd Lindley Exponentiated Exponential by a ModiÃ–ed Goodness of Fit Test with Applications to Censored and Complete Data (2019, methodology): “When to Bagdonavicius and Nikulin (2011); Bagdonavicius et al. (2013), they proposed a modification of the N.R.R statistic that takes into account random right censorship.”