The traditional variance components approach for quantitative trait locus (QTL) linkage analysis is sensitive to violations of normality and fails for selected sampling schemes. Recently, a number of new methods have been developed for QTL mapping in humans. Most of the new methods are based on score statistics or regression-based statistics and are expected to be relatively robust to non-norma...

Short-term adaptation and recovery from adaptation have a strong impact on the processing of dynamic stimuli. Adaptive effects on neuronal activity have been studied most commonly for changes in first-order statistics of stimuli such as stepwise increments or decrements in stimulus amplitude. However, changes in higher moment statistics, such as the variance of the amplitude distribution in vis...

In most previous research work on data detection in mobile radio systems the noise is assumed to be Gaussian distributed with known noise variance, and a separate variance estimation is required in realistic scenarios. In order to avoid the additional variance estimator and to obtain better system performance, a novel optimum minimum mean square error (MMSE) detector exploiting noise statistics...

In many engineering applications, we have to combine probabilistic, interval, and fuzzy uncertainty. For example, in environmental analysis, we observe a pollution level x(t) in a lake at different moments of time t, and we would like to estimate standard statistical characteristics such as mean, variance, autocorrelation, correlation with other measurements. In environmental measurements, we o...

We consider the jellium model of $N$ particles on a line confined in an external harmonic potential and with pairwise one-dimensional Coulomb repulsion strength $\alpha > 0$. Using gas method, we study statistics $s = (1/N) \sum_{i=1}^N f(x_i)$ where $f(x)$, principle, is arbitrary smooth function. While mean $s$ easy to compute, variance nontrivial due long-range interactions. In this paper de...

We study the variability of passive scalar diffusion via the statistics of stochastic particle dispersion in a chaotic flow. We find that at intermediate times when the statistics of individual trajectories start to exhibit scaling-law behaviors, scalar variance over the entire domain exhibits multimodal structure. We demarcate the domain based on Lagrangian coherent structures and find that th...

Received: 19 July 2006 Revised: 4 April 2007 Accepted: 2 August 2007 Online publication date: 18 October 2007 Abstract Practicing managers live in a world of ‘extremes’, but international business and management research is based on Gaussian statistics that rule out such extremes. On occasion, positive feedback processes among interactive data points cause extreme events characterized by power ...