Runoff estimation resulted from precipitation is the basis of more study in various develop and exploit design from water resource, then its measure and calculation due to environmental bottlenecks, always have a plenty problem. As a result of the importance of output runoff estimation and flood volume in watershed for the sake of country integrated watershed management in this study tried to 9...

this paper presents a probabilistic confidence-interval based method for optimal placement of shunt capacitors in distribution networks by considering probabilistic characteristics of loads. the main objective function are reducing loss and improving the voltage profile. backward forward sweep method has been employed to obtain the power flow results in distribution system. in addition, integer...

We use the model-calibrated pseudo empirical likelihood method to construct estimators for the finite population distribution function. Under an assumed superpopulation working model, the proposed estimators have minimum model expectation of asymptotic design-based variance among a class of estimators and therefore are optimal in that class. The estimators are asymptotically designunbiased irre...

Distribution theory is concerned with probability distributions of random variables, with the emphasis on the types of random variables frequently used in the theory and application of statistical methods. For instance, in a statistical estimation problem we may need to determine the probability distribution of a proposed estimator or to calculate probabilities in order to construct a confidenc...

Optical flow estimation can be formulated as two regression stages, derivative estimation and optical flow constraints (OFC) solving. Traditional approaches use LeastSquares at both stages and are sensitive to assumption violations. To improve estimation accuracy especially near motion boundaries, we use a Least Trimmed Squares (LTS) estimator to solve the OFC, obtaining a confidence measure fo...