according to the literature, economic liberalization is an important factor affecting the intra industry trade (iit). present paper is trying to examine the positive effect of economic liberalization on iran’s iit as well as to review the effectiveness of important components of economic liberalization including privatization, trade liberalization, exchange rate liberalization and financial lib...

While the conventional DEA based production plans aim to minimize all the inputs consumption and maximize all the outputs production, there are many real world production systems may also generate undesirable by-products. One methodological difficulty associated with the previous DEA-based production planning models is how to incorporate undesirable factors in the planning models, while the sim...

improving time series forecastingaccuracy is an important yet often difficult task.both theoretical and empirical findings haveindicated that integration of several models is an effectiveway to improve predictive performance, especiallywhen the models in combination are quite different. in this paper,a model of the hybrid artificial neural networks andfuzzy model is proposed for time series for...

The power law process has been used extensively in software reliability models, reliability growth models and more generally reliable systems. In this paper we work on the Power Law Process via empirical Bayes (EB) approach. Based on a two-hyperparameter natural conjugate prior and a more generalized three-hyperparameter natural conjugate prior, which was stated in Huang and Bier (1998), we wor...

the different model specifications have been proposed to estimate time-varying technical efficiency in the last two decades. these models have resulted different efficiency scores based on their built-in specifications. this study investigates the temporal pattern of technical efficiency based on cornwell, sickles, and schmidt (css, 1990) as well as lee and schmidt (ls, 1993) models. in order t...

The aim of this paper is to propose some diagnostic methods in linear ridge measurement error models with stochastic linear restrictions using the corrected likelihood. Based on the bias-corrected estimation of model parameters, diagnostic measures are developed to identify outlying and influential observations. In addition, we derive the corrected score test statistic for outliers detection ba...

  Context:In this review, we discuss empirical and stoichiometric models, which have been developed recently in SSF processes and the influence of environmental conditions on the variables of these models. Additionally, new studies on modeling of product formation are also mentioned. <span style="color: windowtext...