DEA methodology allows DMUs to select the weights freely, so in the optimalsolution we may see many zeros in the optimal weight. to overcome this prob-lem, there are some methods, but they are not suitable for evaluating DMUswith fuzzy data. In this paper, we propose a new method for solving fuzzyDEA models with restricted multipliers with less computation, and comparethis method with Liu''''''...

The Liu estimator has consistently been demonstrated to be an attractive shrinkage method for reducing the effects of multicollinearity. The Poisson regression model is a well-known model in applications when the response variable consists of count data. However, it is known that multicollinearity negatively affects the variance of the maximum likelihood estimator (MLE) of the Poisson regressio...

1 Department of Pharmacy, Xuzhou Medical College, 84 West Huaihai Road, Xuzhou, 221002, Jiangsu, China 2 Jiangsu Province Key Laboratory of Anesthesiology, Xuzhou Medical College, 84 West Huaihai Road, Xuzhou, Jiangsu 221002, China 3 Environment Protection Research Institute of Xuzhou, Xuzhou, Jiangsu Province, China 4 Department of Anesthesia, Xuzhou Medical College, 84 West Huaihai Road, Xuzh...

The problem of outlier detection consists in finding data that is not representative of the population from which it was ostensibly derived. Recently, to solve this problem, Liu et al. [1] proposed a two steps hypersphere-based approach, taking into account a confidence score pre-calculated for each input data. Defining these scores in a first step, independently from the second one, makes this...

In this paper, we make a modification to the LS conjugate gradient method and propose a descent LS method. The method can generates sufficient descent direction for the objective function. We prove that the method is globally convergent with an Armijo-type line search. Moreover, under mild conditions, we show that the method is globally convergent if the Armijo line search or the Wolfe line sea...

Poisson regression is a popular tool for modeling count data and applied in medical sciences, engineering others. Real data, however, are often over or underdispersed, we cannot apply the regression. To overcome this issue, consider model based on Conway–Maxwell (COMP) distribution. Generally, maximum likelihood estimator used estimation of unknown parameters COMP model. However, existence mult...