Beyond Imitation: The Relationship between Literature and Social Reality as Implied in Georg Lukács’s Reflection Theory (Published)
Reflection is not a new concept in literary criticism. However, this concept reached its dialectic perfection at the hand of the Marxist philosopher Georg Lukács (1885-1971). Believing that Man is the focal point in every literary content, Lukács conceives Realism as the basis of all literary genres due to its significant role in solving Man’s problems of alienation and the self- spilt caused by Capitalism, and it is, therefore, the best representation of his Reflection Theory. Reflection for Lukács is neither spontaneous nor photographic, but deliberate and conscious. In this process, the writer plays the role of the mediator between literature and the society. A great writer has, thus, to portray his characters and their struggle for self-realization objectively without imposing his political orientation. Through his typical characters and situations, the writer brings the reality in front of his readers’ eyes so as to enable them to confront their troubles and think of change, and this is “intellectual and moral work” of the realist writer in Lukács’s perspective.
PARAMETERS ESTIMATION FOR THE RAYLEIGH DISTRIBUTION BASED ON A SIMPLE STEP-STRESSES MODEL WITH TYPE-II HYBRID CENSORED DATA (Published)
In this paper, we consider a simple step-Stress model under the Rayleigh distribution when the available data are type-II hybrid censored. The maximum likelihood and Bayes estimators as well as, approximate confidence intervals for the parameters are constructed. Bayes estimators are obtained using the symmetric squared error loss functions and asymmetric LINEX and General Entropy (GE) loss functions using non informative priors, a numerical illustration for these new results are also given.MSC: Primary 62N05; 62N01: secondary 62F40; 62F30.
Keywords: Accelerated life testing, Monte-Carlo Simulation, Non-informative prior, Rayleigh distribution, Symmetric and Asymmetries loss function, cumulative exposure model, hybrid censored samples, maximum likelihood estimation(MLE), step stress model, type.