The purpose of this paper is to obtain the tracking interval for difference of expected Kullback-Leibler risks of two models under Type II hybrid censoring scheme. This interval helps us to evaluate proposed models in comparison with each other. We drive a statistic which tracks the difference of expected Kullback–Leibler risks between maximum likelihood estimators of the distribution in two diff...

Background: Value of Corticosteroid Randomisation after Significant Head Injury (CRASH) prognostic model has not been assessed in children with traumatic brain injury (TBI). This study is designed to examine the value of CRASH model in prediction of 14-day mortality and 6-month unfavourable outcome of pediatric TBI. Materials and Methods: </stron...

Engineering structures are usually exposed to cyclic multiaxial loading and subsequently to multiaxial fatigue. Different models and criteria with various capabilities have been proposed for predicting of multiaxial fatigue life. Selection of proper model by considering material, type of loading and operation condition of each engineering structure is a challenging issue of the life prediction ...

Wheel numeric and different versions of mobility numbers are important models for predicting the rolling resistance. In this study, data related to the rolling resistance of cross ply and radial ply tires were compared with the resultant values from several models. Also, the preciseness of models in rolling resistance prediction was evaluated. For this purpose F test and 1-1 line method (p≥ 0.0...

cox regression model serves as a statistical method for analyzing the survival data, which requires some options such as hazard proportionality. in recent decades, artificial neural network model has been increasingly applied to predict survival data. this research was conducted to compare cox regression and artificial neural network models in prediction of kidney transplant survival. the prese...

This paper reports on the use of Artificial Neural Networks (ANN) and Partial Least Squareregression (PLS) combined with NIR spectroscopy (900-1700 nm) to design calibration models for thedetermination of sugar content in sugar beet. In this study a total of 80 samples were used as the calibration set,whereas 40 samples were used for prediction. Three pre-processing methods, including Multiplic...

In the present paper, informatics-aided quantitative structure activity relationship (QSAR) models using genetic algorithm-partial least square (GA-PLS), genetic algorithm-Kernel partial least square (KPLS), and Levenberg-Marquardt artificial neural network (LM ANN) approach were constructed to access the antimalarial activity (pIC50) of 2,5-diaminobenzophenone derivatives. Comparison of errors...

in order to compare the precision of predictions of nrc (2001) and cncps models, 17 holstein fresh cows were assigned in a randomized complete block design to a balanced diet with nrc (2001) and cncps software. the predicted dmi, energy allowable milk and protein allowable milk by both models were compared with observed values. the precision of the predictions of models was evaluated by calcula...

late blight, caused by phytophthora infestans, is one of the most important diseases of potato in the world and iran, especially in golestan province. 16 models have introduced for forecasting the disease in the world, sofar. in order to developing a forecasting model, wether and disease occurrence data during the recent 10 years were used.then, 22 variables were built using daily temperature, ...

nowadays, due to increasing the complexity of ic engines, calibration task becomes more severe and the need to use surrogate models for investigating of the engine behavior arises. accordingly, many black box modeling approaches have been used in this context among which network based models are of the most powerful approaches thanks to their flexible structures. in this paper four network base...