The relationship between the nuclear parameters and model performance is complex, which is from relevance vector machine (RVM) regression model based on Gaussian radial basis kernel function. Aiming at the problem of how to determine the kernel parameters of RVM, a method to selecting kernel parameter of RVM based on AIC criterion is proposed. Firstly, a novel of statistic Q is proposed based o...

The market of agricultural products, raw materials and food is great importance for the development economy Republic Kazakhstan. Its main purpose to meet needs food. protection interests producers cultivating grain, oilseeds, vegetables from consequences adverse natural conditions will be ensured by organization insurance activities in crop production. aim – evaluate modern system voluntary pro...

It is common knowledge that the Akaike’s information criterion (AIC) is not a consistent model selection criterion. This inconsistency property has been confirmed from an asymptotic selection probability evaluated from a large-sample asymptotic framework. However, when a high-dimensional asymptotic framework, such that the dimension of the response variables and the sample size are approaching ...

The computation for image mosaicing using homographies is numerically unstable and causes large image distortions if the matching points are small in number and concentrated in a small region in each image. This instability stems from the fact that actual transformations of images are usually in a small subgroup of the group of homographies. In this paper, we show that such undesirable distorti...

The paper by Austin et al. refers repeatedly to generalized linear mixed models, or GLMMs. Example. Suppose we are doing a simple observational study. We observe some species of animal. N animals are selected at random and tracked. They may be observed visually, or by some sort of attached sensor. The position is recorded at short regular intervals. Say, once a minute. The variable of interest ...

To the Editor, We read with interest and some concern the recent correspondence by Takenaka and Aoyama regarding the optimizing endotracheal tube (ETT) size and length for tracheal intubation through single-use supraglottic airway devices (SADs). We believe the recommendations in this letter to the editor should be interpreted cautiously for the following reasons. First, in Table 1, the authors...

Estimation of Kullback-Leibler information is a crucial part of deriving a statistical model selection procedure which, like AIC, is based on the likelihood principle. To discriminate between nested models, we have to estimate KullbackLeibler information up to the order of a constant, while Kullback-Leibler information itself is of the order of the number of observations. A correction term empl...

Population heterogeneity in growth trajectories can be detected with growth mixture modeling (GMM). It is common that researchers compute composite scores of repeated measures and use them as multiple indicators of growth factors (baseline performance and growth) assuming measurement invariance between latent classes. Considering that the assumption of measurement invariance does not always hol...

BACKGROUND  Several criteria exist to identify the optimal model for quantification of tracer kinetics. The purpose of this study was to evaluate the correspondence in kinetic model preference identification for brain PET studies among five model selection criteria: Akaike Information Criterion (AIC), AIC unbiased (AICC), model selection criterion (MSC), Schwartz Criterion (SC), and F-test. M...