Journal of Statistics: Advances in Theory and Applications[1] M. G. Akritas, Pearson-type goodness-of-fit tests: The univariate
case, Journal of the American Statistical Association 83 (1988),
222-230.
[2] V. Bagdonavicius and M. Nikulin, Chi-squared tests for general
composite hypotheses from censored samples, Comptes Rendus
Mathematique 349(3) (2011), 219-223.
[3] V. Bagdonavicius and M. Nikulin, Chi-squared goodness-of-fit test
for right censored data, International Journal of Applied Mathematics
and Statistics 4(SI-11A) (2011), 30-50.
[4] V. Bagdonavicius et al., Non-parametric Tests for Censored Data,
Wiley, New York, 2013.
[5] G. M. Cordeiro, E. M. M. Ortega and S. Nadarajah, The Kumaraswamy
Weibull distribution with application to failure data, J. Franklin
Inst. 349 (2010), 1174-1197.
[6] G. M. Cordeiro and M. de Castro, A new family of generalized
distributions, Journal of Statistical Computation and Simulation 81
(2011), 883-898.
[7] Felipe R. S. de Gusmão, M. Edwin, M. Ortega Gauss and M.
Cordeiro, The generalized inverse Weibull distribution, Stat. Papers
52(3) (2009), 591-619.
[8] R. A. Fisher and others, On a property connecting the 
measure of discrepancy with the method of
maximum likelihood, Journal of the Royal Statistical Society 87
(1928), 442-449.
[9] H. Goual and N. Seddik-Ameur, Chi-squared type test for the
AFT-generalized inverse Weibull distribution, Communications in
Statistics-Theory and Methods 43(13) (2014), 2605-2617.
[10] Robert J. Gray and Donald A. Pierce, Goodness-of-fit tests for
censored survival data, Ann. Statist. 13(2) (1985), 552-563.
[11] M. G. Habib and D. R. Thomas, Chi-square goodness-if-fit tests
for randomly censored data, The Annals of Statistics 14(2) (1986),
759-765.
[12] M. Hollander and E. Pena, Chi-square goodness-of-fit test for
randomly censored data, JASA 87(418) (1992), 458-463.
[13] N. L. Hjort, Goodness of fit tests in models for life history
data based on cumulative hazard rates, Ann. Statist. 18 (1990),
1221-1258.
[14] P. Kumaraswamy, Generalized probability density-function for
double-bounded random-processes, Journal of Hydrology 462 (1980),
79-88.
[15] J. F. Lawless, Statistical Models and Methods for Lifetime Data
(Second Edition), Wiley, New York, 2003.
[16] J. F. Lawless, Reliability, Life Testing and the Prediction of
Service Lives: For Engineers and Scientists by Sam C. Saunders,
Springer Series in Statistics 75(2) (2007), 260.
[17] L. Gerville-Réache, M. S. Nikulin, R. Tahir et al., On
reliability approach and statistical inference in demography, Journal
of Reliability and Statistical Studies 5 (2012), 37-49.
[18] S. Nadarajah, G. M. Cordeiro and E. M. M. Ortega, General results
for the Kumaraswamy-G distribution, Journal of Statistical Computation
and Simulation 82(7) (2012), 951-979.
[19] M. S. Nikulin, L. Gerville-Réache and X. Q. Tran, On chi-squared
goodness-of-fit test for normality, In V. Couallier, L.
Gerville-Réache, H. Huber-Carol, N. Limnios, and M. Mesbah, Editors,
Statistical Models and Methods for Reliability and Survival Analysis,
Wiley Online Library, New York, (2013), 213-227.
[20] M. S. Nikulin, Chi-squared test for normality, in proceedings of
the International Vilnius Conference on Probability Theory and
Mathematical Statistics 2 (1973a), 119-122.
[21] M. S. Nikulin, Chi-squared test for continuous distributions with
shift and scal parameters, Theory of Probability and its Applications
18 (1973b), 559-568.
[22] M. S. Nikulin, On a chi-squared test for continuous
distributions, Theory of Probability and its Applications 19 (1973c),
638-639.
[23] M. Nikulin and F. Haghighi, A chi-squared test for the
generalized power weibull family for the head-and-neck cancer censored
data, Journal of Mathematical Sciences 133(3) (2006), 1333-1341.
[24] M. S. Nikulin and X. Q. Tran, On chi-squared testing in
accelerated trials, International Journal of Performability
Engineering 10(1) (2014), 53-62.
[25] M. S. Nikulin and X. Q. Tran, Chi-squared goodness-of-fit tests
for generalized Birnbaum-Saunders models for right censored data and
its reliability applications, Journal of Reliability: Theory &
Application, Electronic Journal of International Groups on Reliability
8(#2) (2013), 7-20.
[26] M. A. R. Pascoa, E. M. M. Ortega and G. M. Cordeiro, The
Kumaraswamy generalized gamma distribution with application in
survival analysis, Statistical Methodology 8 (2011), 411-433.
[27] M. C. Pike, A method of analysis of a certain class of
experiments in carcinogenesis, Biometrics 22 (1966), 142-161.
[28] V. Ravi and D. Gilbert Paul, BB: An R package for solving a large
system of nonlinear equations and for optimizing a high-dimensional
nonlinear objective function, Journal of Statistical Software 32(i04)
(2009), 1-26.
[29] H. Saulo, J. Leao and M. Bourguignion, The Kumaraswamy
birnbaum-sanders distribution, J. Stat. Theory Pract. 6 (2012),
754-759.
[30] M. Q. Shahbaz, S. Shahbaz and N. S. Butt, The Kumaraswamy
inverse-Weibull distribution, Pakistan J. Statist. Oper. Res. 8
(2012), 479-489.
[31] V. Voinov, M. S. Nikulin and N. Balakrishnan, Chi-Squared
Goodness of Fit Tests with Applications, Academic Press, New York,
2013.
[32] V. Voinov, N. Pya, N. Shapakov and Y. Voinov, Goodness-of-fit
tests for the power generalized Weibull probability distribution,
Communications in Statistics-Simulation and Computation 42(5) (2013),
1003-1012.
[33] B. Zhang, A chi-squared goodness-of-fit test for logistic
regression models based on casecontrol data, Biometrika 86(3) (1999),
531-539.
