BACKGROUND Generally, QSAR modelling requires both model selection and validation since there is no a priori knowledge about the optimal QSAR model. Prediction errors (PE) are frequently used to select and to assess the models under study. Reliable estimation of prediction errors is challenging - especially under model uncertainty - and requires independent test objects. These test objects must...

We perform a review of model selection procedures, in particular various cross validation procedures and adaptive model selection. We cover important results for these procedures and explore the connections between different procedures and information criteria. INDEX WORDS: Model selection, Adaptive model selection, Cross validation, Information Criteria A REVIEW OF CROSS VALIDATION AND ADAPTIV...

Form validation is an integral part of a web application. Web developers must ensure that data input by the user is validated for correctness. Given the importance of form validation it must be considered as part of a model-driven solution to web development. Existing model-driven approaches typically have not addressed form validation as part of the model. In this paper, we present an approach...

Wireless communication involving unmanned aerial vehicles (UAVs) is expected to play an important role in future wireless networks. However, different from conventional terrestrial systems, UAVs typically have rather limited onboard energy on one hand, and require additional flying consumption the other hand. This renders energy-efficient UAV with smart expenditure of paramount importance. In t...

In this paper, an purchasing inventory model for deteriorating items is developed with a linear, positive trend in demand, allowing inventory shortages and backlogging. It is assumed that the goods in the inventory deteriorate over time at a constant rate . Two models are developed for two operational policies. The first policy covers the case that the inventory model with linear demand for det...

resolution of binary mixtures of theophylline (theo), montelukast (mkst) and loratadine (lora) with minimum sample pretreatment and without analyte separation has been successfully achieved by multivariate spectrophotometric calibration, together with partial least-squares (pls-1), principal component regression (pcr) and hybrid linear analysis (hla). data of analysis were obtained from uv–vis ...

Finding new families of distributions has become a popular tool in statistical research. In this article, we introduce a new flexible four-parameter discrete model based on the Marshall-Olkin approach, namely, the discrete Kumaraswamy Marshall-Olkin exponential distribution. The proposed distribution can be viewed as another generalization of the geometric distribution and enfolds some importan...