صلة تأويل النّص بأصول التخاطب في العربية

This article defines principles of pragmatism and text. It endeavors to elements of interpretation of text as well as relation which plays its vital role for connecting both; text and pragmatism with each other. It goes on to describe a mechanism of reading and understanding of text along with elaboration of its interaction with text. It is so because Arabic based structure and text is having multi-coloured aspects and meanings. It has several ups and downs like surface and depth, metaphor, imagery and allegory in addition to exploitation and adaption. Interpretation of text is the grass-roots of productive cognition. Because the ambiguity in word, sentence even in structure weather it is shorten or long is interpreted in addition to the interpretation of meanings of structures which are ordinarily defined and recognized through involving context and situation of context, bearing in view the original meaning; lexical meaning alongside interpretation with its significant principles and elements. However, all the description said before locates frequently infinity of text meanings.      

Parameters Estimation of the 3-Component Mixture Models of Exponential Family under Bayesian Paradigm

This thesis is concerned with the problem of estimating the parameters of the 3-component mixture models of the members of one parameter Exponential family using type-I right censored data under Bayesian paradigm. The models include: (i) Exponential distribution (ii) Rayleigh distribution (iii) Pareto distribution and (iv) Burr Type-XII distribution. In the Bayesian perspective, these 3-component mixtures of distributions get either no or least consideration in literature so far. Also, the reliability analysis of the 3-component mixtures of distributions is presented in this study. The expressions for the Bayes estimators and their posterior risks using the non-informative and the informative priors under squared error loss function, precautionary loss function and DeGroot loss function are derived. The censored sampling environment is considered due to its popularity in reliability theory and survival analysis. When prior information is available, elicitation of hyperparameters through prior predictive method based on predictive probabilities is given. The posterior predictive distribution for a future observation and the Bayesian predictive interval are constructed. In addition, the limiting expressions for the Bayes estimators and posterior risks under different loss functions are derived. To examine, numerically, the performance of the Bayes estimators under different loss functions, we have simulated Bayes estimates and posterior risks for different sample sizes, test termination times and parametric values. Further, to highlight the practical significance of each 3- component mixture, the Bayesian analysis of the real life mixture data sets is conducted. At the end of this thesis, the conclusion is presented. Some recommendations for future research are also given.