We present a novel method for clustering syntactic structures in raw text. The method involves first generating an ensemble of classifiers, by training a statistical parser on samples from the training data. Then, the classifier outputs for each instance are used as input for clustering. The resulting clusters group together instances whose internal representations in the statistical model are ...

The Analysis of Variance (ANOVA) is a commonly used statistical test in Statistics. The test compares the equality of means against the alternative that at least one of the means are different. In this report, we introduce a multivariate test known as Wavelet Analysis of Variance extending ANOVA to profile (functional) data. The test exploits the dimension reduction, noise elimination propertie...

DISCUSSION We applied equivalence testing on step (1) of analysis of commutability experiments. Statistical inference in terms of equivalence is commonly used in guidelines of pharmaceutical industry if similarity of two or more processes within predefined limits has to be proven (e.g. (FDA 2001)). In clinical chemistry literature equivalence testing is mentioned (Lung, Gorko et al. 2003) only ...

Tools and methods in the context of Model-Driven Engineering have to be evaluated and tested. Unfortunately, adequate test models are scarcely available in many application domains, and available models often lack required properties. Test model generators have been proposed recently to overcome this deficiency. Their basic principle is to synthesize test models by controlled application of edi...

The NIST Statistical Test Suite has 15 tests. The principal strategy of the NIST Statistical Test Suite is to judge statistical randomness property of random bit generating algorithms. Based on 300 to 500 different keys, the algorithm generates a series of even number of different long random sequences of n bits, n varying between 13 and 15 lacs, each of which is tested by the 15 tests. Each te...

In this paper we search for the optimum tests that minimize the sum of two error probabilities.

At its simplest, voxel-based morphometry (VBM) involves a voxel-wise comparison of the local concentration of gray matter between two groups of subjects. The procedure is relatively straightforward and involves spatially normalizing high-resolution images from all the subjects in the study into the same stereotactic space. This is followed by segmenting the gray matter from the spatially normal...

at the pre-test stage, one of the important stages in language testing, items of the test are given to some language learners who are at same level as the target test takers, and through the statistical analysis of their responses, the information such as item facility and item discrimination are gained. also, unreliable and problematic items are distinguished and amended. this research tries t...

Appropriate statistical analyses are an integral part of surgical research. The purpose of this work is to assist surgeons and clinicians with the interpretation of statistics by providing a general understanding of the basic concepts that lead to choosing an appropriate statistical test for common study designs. It is extremely important to understand the nature of the data before embarking on...