Monte Carlo simulations show that the interval-data estimates of mean or median WTP can be surprisingly robust to departures from the true, bivariate model, and that the interval-data model is often superior to the bivariate model in terms of the mean square error of the estimates. Two ...
Model and Analyse Interval DataPedro Duarte SilvaPaula Brito
In this study, we suggest an approach to measure the efficiency of series and parallel systems with interval data that preserves the linearity of DEA model. Also, the interval DEA models are proposed to measure the lower and upper bounds of the efficiency of each DMU with interval data. 展开...
In such an interval data setting, we estimate upper and lower bounds for the efficiency scores of the units (branches). Moreover, we suggest a post DEA-model for discriminating, in terms of endurance, among the efficient units. 展开
Autoregressive model-based gear shaft fault diagnosis using the Kolmogorov-Smirnov test Vibration behavior induced by gear shaft crack is different from that induced by gear tooth crack. Hence, a fault indicator used to detect tooth damage may... X Wang,V Makis - 《Journal of Sound & Vibration...
Purpose - This paper aims to prioritize the most efficient Six Sigma project that can generate the greatest benefit to the organization, according to the relative performance among a set of homogenous projects (in here, DMUs). The selection of a Six Sigma project is a multiple-criteria decision...
The diagram below illustrates the logical relationships between the entities and is not intended to translate the data model for any particular utility or Oracle Utilities Opower system.It is assumed that all of the data elements described in this diagram will be provided. Interval data will ...
A model for interval-censored tuberculosis outbreak data. As the incidence of tuberculosis (TB) has increased in the United States, occupationally acquired TB has increased among the health care workers (HCWs). Th... PJ Smith,TJ Thompson,JA Jereb - 《Statistics in Medicine》 被引量: 41发表:...
Gravity-Model Estimation with Time-Interval Data: Revisiting the Impact of Free Trade Agreementsstructural gravitytrade policyfree trade agreementsinterval dataWe challenge the common practice of estimating gravity equations with time-interval data in order to capture dynamic-adjustment effects to trade-...
Current studies of type-2 neural fuzzy systems (FSs) (NFSs) primarily focus on building a fuzzy model with high accuracy and disregard the interpretability of fuzzy rules. This paper proposes a data-driven interval type-2 (IT2) NFS with improved model interpretability (DIT2NFS-IP). The DIT...