We present an application of the Akaike Information Criterion (AIC ) for an automatic and accurate determination of the acoustic and electromagnetic emission (AE and EME) onset times. The onset time information is used to derive the time delays between correlated AE and EME events from rock specimens during laboratory fracture experiments. The observed correlation in time between AE and EME eve...

The frequency analysis of hydrological extremes requires fitting a probability distribution to the observed data to suitably represent the frequency of occurrence of rare events. The choice of the model to be used for statistical inference is often based on subjective criteria, or it is considered a matter of probabilistic hypotheses testing. In contrast, specific tools for model selection, lik...

The competing risks model is useful in settings in which individuals (or units) may die (or fail) due to a number of different causes. It can also be the case that for some of the items the failure cause is known only up to a subgroup of all causes in which case we say that the failure is group masked. A widely used approach for competing risks data with and without masking involves the specifi...

Data available in software engineering for many applications contains variability and it is not possible to say which variable helps the process of prediction. Most work present defect prediction focused on selection best techniques. For this purpose, deep learning ensemble models have shown promising results. In contrast, there are very few researches that deals with cleaning training data par...

In this paper, a new form of alpha-beta-skew-Laplace distribution is proposed under Balakrishnan [3] mechanism and investigated some its related distributions. The moments, distributional properties extensions the have also studied. Finally, suitability appropriateness has tested by conducting data fitting experiment comparing values Akaike Information Criterion (AIC) Bayesian (BIC) with other ...

BACKGROUND Hepatocellular carcinoma (HCC) is a common cancer in China, an area of high hepatitis B virus (HBV) infection. Although several staging systems are available, there is no consensus on the best classification to use because multiple factors, such as etiology, clinical treatment and populations could affect the survival of HCC patients. METHODS This study analyzed 743 HBV-related Chi...

Reliable short-term prediction of ship motions improves the safety in ship motion related special operations, where autoregressive (AR) model is extensively used as its advantages like convenient in real-time identification and high adaptive nature. Order selection is the most critical and difficult part in the identification of AR model. Conventionally, the model order is determined by applyin...

Introducing a mathematical model of noise in stereo images, we propose a new criterion for intelligent statistical inference about the scene we are viewing by using the geometric information criterion (geometric AIC). Using synthetic and real-image experiments, we demonstrate that a robot can test whether or not the object is located very far away or the object is a planar surface without using...

For model selection in mixed effects models, Vaida and Blanchard (2005) demonstrated that the marginal Akaike information criterion is appropriate as to the questions regarding the population and the conditional Akaike information criterion is appropriate as to the questions regarding the particular clusters in the data. This article shows that the marginal Akaike information criterion is asymp...

The weighing records of 18 crossbred females with average live weight of 14.7 ± 3.14 kg were analyzed to study the relationship of the growth of crossbred hair sheep with some zoometric measures. The weight was established and took the measures thoracic perimeter, cannon perimeter, body length, neck length, hip amplitude, ischial amplitude, withers height and croup height. All parameters were s...