Based on alpha-stable distributional modelling, we have proposed a set of parametric measures to analyze long-term heart rate variability(HRV). The set, in difference from standard measures, accommodates premature beats in the HRV analysis. It preserves the structure of standard measures, redefines many of them and includes new measures. The rationale of the method was demonstrated by simulatio...

Methods Forty-one extracted single-rooted teeth were included in the present study. After content removal and autoclaving, they were divided into eight groups among which two were used as positive and negative controls. The remaining six groups were instrumented and irrigated with solutions containing 17% EDTA, sterile saline solution, and different concentrations of NaOCl. In addition, chlorhe...

In this work parametric and non-parametric statistical methods are proposed to analyze Diffusion Tensor Magnetic Resonance Imaging (DT-MRI) data. A Multivariate Normal Distribution is proposed as a parametric statistical model of diffusion tensor data when magnitude MR images contain no artifacts other than Johnson noise. We test this model using Monte Carlo (MC) simulations of DT-MRI experimen...

In this paper, a new methodology is presented for detecting anomalies from radiographic images. This methodology exploits a statistical model adapted to the content of radiographic images together with the hypothesis testing theory. The main contributions are the following. First, by using a generic model of radiographies based on the acquisition pipeline, the whole non-destructive testing proc...

The web-based, Java-written SOCR (Statistical Online Computational Resource) tools have been utilized in many undergraduate and graduate level statistics courses for seven years now (Dinov 2006; Dinov et al. 2008b). It has been proven that these resources can successfully improve students' learning (Dinov et al. 2008b). Being first published online in 2005, SOCR Analyses is a somewhat new compo...

Statistical parametric, especially Hidden Markov Model-based, text-tospeech (TTS) synthesis has received much attention recently. The quality of HMM-based speech synthesis approaches that of the state-of-the-art unit selection systems and possesses numerous favorable features, e.g. small runtime footprint, speaker interpolation, speaker adaptation. This paper presents the improvements of a Hung...

The world of robot soccer is a subjective one due to the di cult nature of collecting data. In this paper we present a number of non-parametric statistical tests that can be used to analyze the performance of strategies without the need for a large sample size. We present results that show a \case-based" strategy performs signi cantly better (statistically) than a \potential eld" strategy in si...

Typically, the distribution of macroparasites over their host population is highly aggregated and empirically best described by the negative binomial distribution. For parasitologists, this poses a statistical provlem, which is often tackled by log-transforming the parasite data prior to analysis by parametric tests. Here, Ken Wilson and Bryan Grenfell show that this method is particularly pron...

Methods We selected 48 patients with moderate to severe rhinitis (12 of them had intermittent asthma) sensitized to Der p without prior treatment with allergen specific immunotherapy. The protocol was approved by the ethics committee. All participants signed informed consent. Determination of total IgE and specific IgE for Der p1 (D1) and Der p2 (D2) were performed in serum and nasal lavage, us...