46 research outputs found
میاں محمد مرغوب کا شعری شعور ”ستارے ٹانکتے رہنا“ کے تخصیصی مطالعہ کے ساتھ
No full textThe basic recognition and acknowledgment of Mr. Mian Muhammad Marghoob, the author of “Sitary Tankty Rehna” is as a preceptor. He was bestowed with the innate quality of describing his inner-self in rhyme. In this way, he has been amalgamating his taste of poesy and artistic values while imparting knowledge to the students. His verse bears traditional modes, intellectual civilization and excellence in thought, manner and taste. His poetic intellect and modes of poetry show such a height of harmony that most of his verses are the proof of his excellence in the art of metrical form of literature. Conscious effort and inspirations, both are evident in his verse. The ripeness and maturity of his imagination and artistic value are the proof of his paragon perfection in verse
A new fitness-based selection operator for genetic algorithms to maintain the equilibrium of selection pressure and population
No full textA genetic algorithm is one of the best optimization techniques for solving complex nature optimization problems. Different selection schemes have been proposed in the literature to address the
major weaknesses of GA i.e., premature convergence and low computational efficiency. This article proposed a new selection operator that provides a better trade-off between selection pressure and
population diversity while considering the relative importance of each individual. The average accuracy of the proposed operator has been measured by χ2 goodness of fit test. It has been performed on two different populations to show its consistency. Also, its performance has been evaluated on fourteen benchmark problems while comparing it with competing selection operators. Results show the effective
performance in terms of two statistics i.e., less average and standard deviation values. Further, the performance indexes and the GA convergence show that the proposed operator takes better care of
selection pressure and population diversity
Codes for Cloning data with unchanged estimates of estimable non-linear functions of parameters article
No full textThe codes used for the implementation of the article titled Cloning data with unchanged estimates of estimable non-linear functions of parameter
Empirical E-Bayesian estimation of hierarchical poisson and gamma model using scaled squared error loss function
No full textThe hierarchical models have not only a major concern with developing computational schemes but also assist in inferring the multi-parameter problems. The E-Bayesian is the expected Bayesian estimation that can be found by taking the integrals of Bayesian estimator using a hyper-prior with respect to the hyper-parameters. This study introduces the empirical E-Bayesian estimation that is coalesced with hierarchical modeling which prior to this has not been investigated. The scaled squared error loss function (SELF) has been used to estimate the parameter of Hierarchical Poisson-Gamma (HPG) model using empirical E-Bayesian estimation. The empirical E-Posterior risk is considered to be the evaluation standard. In addition, the consistency along with the asymptotic normality of the posterior distribution have been discussed. Furthermore, the empirical Bayes method is used to estimate the values of hyper-parameters via Maximum Likelihood (ML) method. The Monte Carlo simulation is executed to assess the precision of proposed estimators and a real-data application has been analyzed for illustration and comparison purposes
Regional Frequency Analysis of Extremes Precipitation Using L-Moments and Partial L-Moments
No full textExtremes precipitation may cause a series of social, environmental, and ecological problems. Estimation of frequency of extreme precipitations and its magnitude is vital for making decisions about hydraulic structures such as dams, spillways, and dikes. In this study, we focus on regional frequency analysis of extreme precipitation based on monthly precipitation records (1999–2012) at 17 stations of Northern areas and Khyber Pakhtunkhwa, Pakistan. We develop regional frequency methods based on L-moment and partial L-moments (L- and PL-moments). The L- and PL-moments are derived for generalized extreme value (GEV), generalized logistic (GLO), generalized normal (GNO), and generalized Pareto (GPA) distributions. The Z-statistics and L- and PL-moments ratio diagrams of GNO, GEV, and GPA distributions were identified to represent the statistical properties of extreme precipitation in Northern areas and Khyber Pakhtunkhwa, Pakistan. We also perform a Monte Carlo simulation study to examine the sampling properties of L- and PL-moments. The results show that PL-moments perform better than L-moments for estimating large return period events
Nonparametric trend analysis of reference evapotranspiration for Khyber Pakhtunkhwa, Pakistan
No full text
