On estimation of R=P(Y<X) for exponential distribution under progressive type-II censoring

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Estimation of δ=P(X<Y) for Burr XII distribution based on the progressively first failure-censored samples (2012, background): “17 studied the estimation problem for the stress–strength parameter based on progressively type II censored samples from two independent exponential distributions.”
Estimation of the stress-strength reliability for the generalized logistic distribution (2013, unknown): “[27] and Asgharzadeh et al.”
A copula-based approach to account for dependence in stress-strength models (2013, methodology): “Different forms of the generalized exponential distribution have been used by Baklizi (2008 b), Raqab et al. (2008), Saraçoǧlu et al. (2011).”
Statistical inferences for stress–strength in the proportional hazard models based on progressive Type-II censored samples (2015, unknown): “[16] estimated the stress–strength parameter, when X and Y are independent exponential random variables based on progressively Type-II censored samples.”